6,333 research outputs found
Author Profiling Tracks at FIRE
No full text[EN] Benchmarking activities are vital for fostering research and addressing new challenging problems. During the last 10 years of the FIRE initiative we have been involved in the organization of more than ten tracks, with the aim of the creation of new resources in several languages that were made available to the research community. This allowed to compare the new several approaches on the same datasets. In this chapter we will focus on the description of three author profiling tracks, on their data creation as well as the results analysis.The work on the author profiling data in Arabic was made possible by NPRP Grant #9-175-1-033 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authorsRosso, P.; Rangel Pardo, FM. (2020). Author Profiling Tracks at FIRE. SN Computer Science. 1:1-11. https://doi.org/10.1007/s42979-020-0073-1S1111Al Sukhni E, Alequr Q. Investigating the use of machine learning algorithms in detecting gender of the Arabic tweet author. Int J Adv Comput Sci Appl. 2016;1(7):319–28.Alsmearat K, Al-Ayyoub M, Al-Shalabi R. An extensive study of the bag-of-words approach for gender identification of Arabic articles. In: 2014 IEEE/ACS 11th international conference on computer systems and applications (AICCSA). 2014. pp 601–608. IEEE.Alsmearat K, Shehab M, Al-Ayyoub M, Al-Shalabi R, Kanaan G. Emotion analysis of Arabic articles and its impact on identifying the authors gender. In: 12th international conference on computer systems and applications (AICCSA), 2015 IEEE/ACS; 2015.Álvarez-Carmona MA, López-Monroy AP, Montes-Y-Gómez M, Villaseñor-Pineda L, Jair-Escalante H. Inaoe’s participation at pan’15: author profiling task—notebook for pan at clef 2015; 2015.Argamon S, Koppel M, Fine J, Shimoni AR. Gender, genre, and writing style in formal written texts. TEXT. 2003;23:321–46.Argamon S, Dhawle S, Koppel M, Pennebaker JW. Lexical predictors of personality type. In: Proceedings of the joint annual meeting of the interface and the classification society of North America; 2005.Asghari H, Mohtaj S, Fatemi O, Faili H, Rosso P, Potthast M. Algorithms and corpora for Persian plagiarism detection: overview of pan at fire 2016. In: Notebook Papers of FIRE 2016, FIRE-2016, Kolkata, India, December 7–10, CEUR Workshop Proceedings. CEUR-WS.org, vol 1737; 2016. pp 135–144.Bachrach Y, Kosinski M, Graepel T, Kohli P, Stillwell D. Personality and patterns of Facebook usage. In: Proceedings of the ACM web science conference. ACM New York, NY, USA; 2012. pp 36–44.Banerjee S, Chakma K, Naskar DA Sudip, Rosso P, Bandyopadhyay S, Choudhury M. Overview of the mixed script information retrieval (MSIR) at fire-2016. In: Notebook papers of FIRE 2016, FIRE-2016, Kolkata, India, December 7–10, CEUR workshop proceedings. CEUR-WS.org, vol 1737; 2016. pp 94–99.Barrón-Cedeño A, Rosso P, Lalitha-Devi S, Clough P, Stevenson M. Pan@fire: Overview of the cross-language !ndian text re-use detection competition. In: 2nd and 3th international workshops FIRE 2010 and 2011, multilingual information access in south Asian Languages, Springer, LNCS(7536); 2013. pp 59–70.Bensalem I, Boukhalfa I, Rosso P, Abouenour L, Darwish K, Chikhi S. Overview of the araplagdet pan@ fire2015 shared task on Arabic plagiarism detection. In: Notebook papers of FIRE 2015, FIRE-2015, Gandhinagar, India, December 4–6, CEUR Workshop Proceedings. CEUR-WS.org, vol 1587; 2015. pp 111–122.Bishop-Clark C. Cognitive style, personality, and computer programming. Computers in human behavior, vol. 11–2. New York: Elsevier; 1995. p. 241–60.Castro D, Souza E, de Oliveira AL. Discriminating between brazilian and european portuguese national varieties on twitter texts. In: 5th Brazilian conference on intelligent systems (BRACIS); 2016. pp 265–270.Celli F, Polonio L. Relationships between personality and interactions in Facebook. Social networking: recent trends, emerging issues and future outlook. New York: Nova Science Publishers Inc; 2013. p. 41–54.Celli F, Lepri B, Biel JI, Gatica-Perez D, Riccardi G, Pianesi F. The workshop on computational personality recognition 2014. In: Proceedings of the ACM international conference on multimedia, ACM; 2014. pp 1245–1246.Costa PT, McCrae RR. The revised neo personality inventory (neo-pi-r). The SAGE handbook of personality theory and assessment, vol. 2. Thousand Oaks: Sage Publications Inc.; 2008. p. 179–98.Elfardy H, Diab MT. Sentence level dialect identification in Arabic. In: Association for computational linguistics (ACL); 2013. pp 456–461.Estival D, Gaustad T, Hutchinson B, Bao-Pham S, Radford W. Author profiling for English and Arabic emails; 2008.Flores E, Rosso P, Moreno L, Villatoro-Tello E. Pan@fire: Overview of SOCO track on the detection of source code re-use. In: Notebook papers of FIRE, FIRE-2014. India: Bangalore; 2014.Flores E, Rosso P, Moreno L, Villatoro-Tello E. Pan@ fire 2015: Overview of cl-soco track on the detection of cross-language source code re-use. In: Proceedings of the seventh forum for information retrieval evaluation (FIRE 2015), Gandhinagar, India; 2015. pp 4–6.Franco-Salvador M, Rangel F, Rosso P, Taule M, Marti M. Language variety identification using distributed representations of words and documents. Experimental IR meets multilinguality, multimodality, and interaction. Berlin: Springer; 2015. p. 28–40.Golbeck J, Robles C, Turner K. Predicting personality with social media. In: CHI’11 extended abstracts on human factors in computing systems, ACM; 2011. pp 253–262.Gupta P, Clough P, Rosso P, Stevenson M. Pan@fire: Overview of the cross-language Indian news story search (CLINSS) track. In: Notebook papers of FIRE 2012, FIRE-2012, Kolkata, India, December 17–19; 2012.Gupta P, Clough P, Rosso P, Stevenson M, Banchs R. Pan@fire: Overview of the cross-language Indian news story search (CLINSS) track. In: Notebook Papers of FIRE 2013, FIRE-2013, Delhi, India, December 4–6; 2013.Holmes J, Meyerhoff M. The handbook of language and gender. Blackwell handbooks in linguistics. New York: Wiley; 2003.Huang C, Lee L. Contrastive approach towards text source classification based on top-bag-of-word similarity. In: In PACLIC; 2008. pp 404–410.Karimi Z, Baraani-Dastjerdi A, Ghasem-Aghaee N, Wagner S. Links between the personalities, styles and performance in computer programming. J Syst Softw. 2016;111:228–41.Koppel M, Argamon S, Shimoni AR. Automatically categorizing written texts by author gender. Lit Linguist Comput. 2002;17:4.Kosinski M, Bachrach Y, Kohli P, Stillwell D, Graepel T. Manifestations of user personality in website choice and behaviour on online social networks. New York: Springer; 2013. p. 1–24.Litvinova T, Litvinlova O, Zagorovskaya O, Seredin P, Sboev A, Romanchenko O. “ruspersonality”: a Russian corpus for authorship profiling and deception detection. In: Intelligence, social media and web (ISMW FRUCT), 2016 international FRUCT conference on, IEEE; 2016. pp 1–7.Litvinova T, Seredin P, Litvinova O, Zagorovskaya O, Sboev A, Gudovskih D, Moloshnikov I, Rybka R. Gender prediction for authors of Russian texts using regression and classification techniques. In: CDUD@ CLA; 2016. pp 44–53.Litvinova T, Gudovskikh D, Sboev A, Seredin P, Litvinova O, Pisarevskaya D, Rosso P. Author gender prediction in Russian social media texts. In: Conference on analysis of images, social networks, and texts, AIST-2017, IEEE; 2017. pp 1101–1106.Litvinova T, Rangel F, Rosso P, Seredin P, Litvinova O. Overview of the rusprofiling pan at fire track on cross-genre gender identification in Russian. In: Notebook papers of FIRE 2017, FIRE-2017, Bangalore, India, December 8–11, CEUR Workshop Proceedings. CEUR-WS.org, vol 2036; 2017. pp 1–7.Lui M, Cook P. Classifying English documents by national dialect. In: Proceedings of the Australasian Language Technology Association Workshop; 2013. pp 5–15.Maharjan S, Shrestha P, Solorio T, Hasan R. A straightforward author profiling approach in mapreduce. In: Advances in artificial intelligence. Iberamia; 2014. pp 95–107.Maier W, Gomez-Rodriguez C. Language variety identification in Spanish tweets. In: LT4CloseLang 2014; 2014.Mairesse F, Walker MA, Mehl MR, Moore RK. Using linguistic cues for the automatic recognition of personality in conversation and text. J Artif Intell Res. 2007;30–1:457–500.Malmasi S, Zampieri M, Ljubešić N, Nakov P, Ali A, Tiedemann J. Discriminating between similar languages and Arabic dialect identification: a report on the third DSL shared task. In: Proceedings of the third workshop on NLP for similar languages, varieties and dialects (VarDial3); 2016. pp 1–14.Maulana Siagian AHA, Aritsugi M. Dbms-ku approach for author profiling and deception detection in Arabic. In: Metha P, Rosso P, Majumder P, Mitra M (Eds) Working notes of the forum for information retrieval evaluation (FIRE 2019). CEUR workshop proceedings. CEUR-WS.org, Kolkata, India, December 12–15; 2019.Neuman Y, Cohen Y. A vectorial semantics approach to personality assessment. Sci Rep. 2014;4:4761.Oberlander J, Nowson S. Whose thumb is it anyway?: classifying author personality from weblog text. In: Proceedings of the COLING/ACL on main conference poster sessions, Association for Computational Linguistics; 2006. pp 627–634.Paruma-Pabón OH, González FA, Aponte J, Camargo JE, Restrepo-Calle F. Finding relationships between socio-technical aspects and personality traits by mining developer e-mails. In: Proceedings of the 9th international workshop on cooperative and human aspects of software engineering, ACM; 2016. pp 8–14.Pennebaker JW, Mehl MR, Niederhoffer KG. Psychological aspects of natural language use: our words, our selves. Annu Rev Psychol. 2003;54(1):547–77.Quercia D, Lambiotte R, Stillwell D, Kosinski M, Crowcroft J. The personality of popular Facebook users. In: Proceedings of the ACM 2012 conference on computer supported cooperative Work, ACM; 2012. pp 955–964.Rangel F, Rosso P. On the multilingual and genre robustness of emographs for author profiling in social media. In: 6th international conference of CLEF on experimental IR meets multilinguality, multimodality, and interaction, Springer-Verlag, LNCS(9283); 2015. pp 274–280.Rangel F, Rosso P. On the impact of emotions on author profiling. Inf Process Manag. 2016;52(1):73–92.Rangel F, Rosso P. On the implications of the general data protection regulation on the organisation of evaluation tasks. Lang Law. 2019;5:95–117.Rangel F, Rosso P. Overview of the 7th author profiling task at pan 2019: Bots and gender profiling. In: Cappellato L, Ferro N, MÃller H, Losada D (Eds) CLEF 2019 labs and workshops, notebook papers. CEUR Workshop Proceedings. CEUR-WS.org; 2019.Rangel F, Rosso P, Potthast M, Stein B, Daelemans W. Overview of the 3rd author profiling task at pan 2015. In: Cappellato L, Ferro N, Jones G, San Juan E (Eds) CLEF 2015 labs and workshops, notebook papers. CEUR Workshop Proceedings. CEUR-WS.org, vol. 1391; 2015.Rangel F, González F, Restrepo-Calle F, Montes M, Rosso P. Pan at fire: Overview of the PR-SOCO track on personality recognition in source code. In: Notebook papers of FIRE 2016, FIRE-2016, Kolkata, India, December 7–10, CEUR workshop proceedings. CEUR-WS.org, vol 1737; 2016. pp 1–5.Rangel F, Rosso P, Franco-Salvador M. A low dimensionality representation for language variety identification. In: 17th international conference on intelligent text processing and computational linguistics, CICLing. Springer; 2016. LNCS. arXiv:1705.10754Rangel F, Rosso P, Potthast M, Stein B. Overview of the 5th author profiling task at PAN 2017: gender and language variety identification in Twitter. In: Working notes papers of the CLEF 2017 evaluation labs, CLEF and CEUR-WS.org, CEUR workshop proceedings; 2017.Rangel F, Rosso P, Charfi A, Zaghouani W, Ghanem B, Sánchez-Junquera J. Overview of the track on author profiling and deception detection in Arabic. In: Metha P, Rosso P, Majumder P, Mitra M (Eds) Working notes of the forum for information retrieval evaluation (FIRE 2019). CEUR workshop proceedings. CEUR-WS.org, Kolkata, India, December 12–15; 2019.Rangel F, Paolo R, Zaghouani W, Charfi A. Fine-grained analysis of language varieties and demographics. Nat Lang Eng; 2020. (In Press).Rosso P, Rangel F, Hernández-Farías I, Cagnina L, Zaghouani W, Charfi A. A survey on author profiling, deception, and irony detection for the Arabic language. Lang Ling Compass. 2018;12:4.Sadat F, Kazemi F, Farzindar A. Automatic identification of Arabic language varieties and dialects in social media. In: Proceedings of SocialNLP; 2014. p 22.Schler J, Koppel M, Argamon S, Pennebaker JW. Effects of age and gender on blogging. In: AAAI spring symposium: computational approaches to analyzing weblogs, AAAI; 2006. pp 199–205.Schwartz HA, Eichstaedt JC, Kern ML, Dziurzynski L, Ramones SM, Agrawal M, Shah A, Kosinski M, Stillwell D, Seligman ME, et al. Personality, gender, and age in the language of social media: the open-vocabulary approach. PLoS One. 2013;8–9:773–91.Sequiera R, Choudhury M, Gupta P, Rosso P, Kumar S, Banerjee S, Kumar-Naskar S, Bandyopadhyay S, Chittaranjan G, Das A, Chakma K. Overview of fire-2015 shared task on mixed script information retrieval. In: Notebook papers of FIRE 2015, FIRE-2015, Gandhinagar, India, December 4–6, CEUR workshop proceedings. CEUR-WS.org, vol 1587; 2015. pp 19–25.Sun Y, Ning H, Chen K, Kong L, Yang Y, Wang J, Qi H. Author profiling in arabic tweets:an approach based on multi-classification with word and character features. In: Metha P, Rosso P, Majumder P, Mitra M (eds) Working notes of the forum for information retrieval evaluation (FIRE 2019). CEUR workshop proceedings. CEUR-WS.org, Kolkata, India, December 12–15; 2019.Weren E, Kauer A, Mizusaki L, Moreira V, de Oliveira P, Wives L. Examining multiple features for author profiling. J Inf Data Manag. 2014;20:266–79.Xu F, Wang M, Li M. Sentence-level dialects identification in the greater china region. Int J Nat Lang Comput. 2016;5:6.Zaghouani W, Charfi A. Arapâ tweet: a large multiâ dialect twitter corpus for gender, age and language variety identification. In: Proceedings of the 11th international conference on language resources and evaluation (LREC), Miyazaki, Japan; 2018.Zaghouani W, Charfi A. Guidelines and annotation framework for Arabic author profiling. In: Proceedings of the 3rd workshop on open-source Arabic corpora and processing tools, 11th international conference on language resources and evaluation (LREC), Miyazaki, Japan; 2018.Zaidan OF, Callison-Burch C. Arabic dialect identification. Comput Ling. 2014;40(1):171–202.Zampieri M, Gebre B. Automatic identification of language varieties: the case of Portuguese. In: The 11th conference on natural language processing (KONVENS). Osterreichischen Gesellschaft fur Artificial Intelligende (OGAI); 2012. pp 233–237.Zampieri M, Malmasi S, Ljubešić N, Nakov P, Ali A, Tiedemann J, Scherrer Y, Aepli N. Findings of the vardial evaluation campaign 2017. In: Proceedings of the fourth workshop on NLP for similar languages, varieties and dialects; 2017. pp 1–15
On the multilingual and genre robustness of EmoGraphs for author profiling in social media
No full textThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-24027-5_28Author profiling aims at identifying different traits such as age and gender of an author on the basis of her writings. We propose the novel EmoGraph graph-based approach where morphosyntactic categories are enriched with semantic and affective information. In this work we focus on testing the robustness of EmoGraphs when applied to age and gender identification. Results with PAN-AP-14 corpus show the competitiveness of the representation over genres and languages. Finally, some interesting insights are shown, for example with topic and emotion bounded genres such as hotel reviews.The research has been carried out in the framework of the European Commission WIQ-EI IRSES (no. 269180) and DIANA - Finding Hidden Knowledge in Texts (TIN2012-38603-C02) projects. The work of the first author was partially funded by Autoritas Consulting SA and by Spanish Ministry of Economics under grant ECOPORTUNITY IPT-2012-1220-430000.Rangel, F.; Rosso, P. (2015). On the multilingual and genre robustness of EmoGraphs for author profiling in social media. En Experimental IR Meets Multilinguality, Multimodality, and Interaction: 6th International Conference of the CLEF Association, CLEF'15, Toulouse, France, September 8-11, 2015, Proceedings. Springer International Publishing. 274-280. https://doi.org/10.1007/978-3-319-24027-5_28S274280Argamon, S., Koppel, M., Fine, J., Shimoni, A.: Gender, genre, and writing style informal written texts. TEXT 23, 321–346 (2003)Levin, B.: English Verb Classes and Alternations. University of Chicago Press, Chicago (1993)Mohammad, S.M., Yang, T.: Tracking sentiment in mail: how gender differ on emotional axes. In: Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (2011)Pennebaker, J.W.: The Secret Life of Pronouns: What Our Words Say About Us. Bloomsbury Press (2011)Rangel, F., Rosso, P.: On the impact of emotions on author profiling. Information Processing & Management, Special Issue on Emotion and Sentiment in Social and Expressive Media (in press, 2015)Rangel, F., Rosso, P., Chugur, I., Potthast, M., Trenkmann, M., Stein, B., Verhoeven, B., Daelemans, W.: Overview of the 2nd author profiling task at pan 2014. In: Cappellato L., Ferro N., Halvey M., Kraaij, W. (eds.) CLEF 2014 Labs and Workshops, Notebook Papers. CEUR-WS.org, vol. 1180 (2014)Rangel, F., Rosso, P., Koppel, M., Stamatatos, E., Inches, G.: Overview of the author profiling task at pan 2013. In: Forner, P., Navigli, R., Tufis, D. (eds.) Notebook Papers of CLEF 2013 LABs and Workshops. CEUR-WS.org, vol. 1179 (2013)Sidorov, G., Miranda-Jimnez, S., Viveros-Jimnez, F., Gelbukh, F., Castro-Snchez, N., Velsquez, F., Daz-Rangel, I., Surez-Guerra, S., Trevio, A., Gordon-Miranda, J.: Empirical study of opinion mining in spanish tweets. In: 11th Mexican International Conference on Artificial Intelligence, MICAI, pp. 1–4 (2012)Strapparava, C., Valitutti, A.: Wordnet-affect: an affective extension of wordnet. In: Proceedings of the 4th International Conference on Language Resources and Evaluation, Lisbon (2004
Author Profiling in Social Media: The Impact of Emotions on Discourse Analysis
No full text[EN] In this paper we summarise the content of the keynote that will be given at the 5th International Conference on Statistical Language and Speech Processing (SLSP) in Le Mans, France in October 23¿25, 2017. In the keynote we will address the importance of inferring demographic information for marketing and security reasons. The aim is to model how language is shared in gender and age groups taking into account its statistical usage. We will see how a shallow discourse analysis can be done on the basis of a graph-based representation in order to extract information such as how complicated the discourse is (i.e., how connected the graph is), how much interconnected grammatical categories are, how far a grammatical category is from others, how different grammatical categories are related to each other, how the discourse is modelled in different structural or stylistic units, what are the grammatical categories with the most central use in the discourse of a demographic group, what are the most common connectors in the linguistic structures used, etc. Moreover, we will see also the importance to consider emotions in the shallow discourse analysis and the impact that this has. We carried out some experiments for identifying gender and age, both in Spanish and in English, using PAN-AP-13 and PAN-PC-14 corpora, obtaining comparable results to the best performing systems of the PAN Lab at CLEF.The research work described in this paper was partially carried out in the framework of the SomEMBED project (TIN2015-71147-C2-1-P), funded by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO).Rosso, P.; Rangel-Pardo, FM. (2017). Author Profiling in Social Media: The Impact of Emotions on Discourse Analysis. Lecture Notes in Computer Science. 10583:3-18. https://doi.org/10.1007/978-3-319-68456-7_1S31810583Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech.: Theory Exp. 2008(10), 10008 (2008)Bonacich, P.: Factoring and weighting approaches to clique identification. J. Math. Soc. 2(1), 113–120 (1972)Brandes, U.: A faster algorithm for betweenness centrality. J. Math. Soc. 25(2), 163–177 (2001)Carreras, X., Chao, I., Padró, L., Padró, M.: FreeLing : an open-source suite of language analyzers. In: Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC 2004) (2004)Díaz Rangel, I., Sidorov, G., Suárez-Guerra, S.: Creación y evaluación de un diccionario marcado con emociones y ponderado para el español. Onomazein 29, 23 (2014). (in Spanish)Ekman, P.: Universals and cultural differences in facial expressions of emotion. In: Symposium on Motivation, Nebraska, pp. 207–283 (1972)Forner, P., Navigli, R., Tufis, D. (eds.): CLEF 2013 Evaluation Labs and Workshop, Working Notes Papers, September 2013, Valencia, Spain, vol. 1179, pp. 23–26. CEUR-WS.org (2013)Koppel, M., Argamon, S., Shimoni, A.: Automatically categorizing written texts by author gender. Literay Linguist. Comput. 17(4), 401–412 (2003)Latapy, M.: Main-memory triangle computations for very large (sparse (power-law)) graphs. Theor. Comput. Sci. (TCS) 407(1–3), 458–473 (2008)Levin, B.: English Verb Classes and Alternations. University of Chicago Press, Chicago (1993)Mann, W.C., Thompson, S.A.: Rhetorical structure theory: toward a functional theory of text organization. Text-Interdiscip. J. Study Discourse 8(3), 243–281 (1988)Meina, M., Brodzinska, K., Celmer, B., Czokow, M., Patera, M., Pezacki, J., Wilk, M.: Ensemble-based classification for author profiling using various features notebook for PAN at CLEF 2013. In: Forner et al. [7]Padró, L., Stanilovsky, E.: FreeLing 3.0: towards wider multilinguality. In: Proceedings of the Language Resources and Evaluation Conference (LREC 2012) (2012)Lopez-Monroy, A.P., Montes-Gomez, M., Jair Escalante, H., Villasenor-Pineda, L., Villatoro-Tello, E.: INAOEs participation at PAN13: author profiling task. Notebook for PAN at CLEF 2013. In: Forner et al. [7]Pennebaker, J.W., Mehl, M.R., Niederhoffer, K.: Psychological aspects of natural language use: our words, our selves. Annu. Rev. Psychol. 54, 547–577 (2003)Pennebaker, J.W.: The Secret Life of Pronouns: What Our Words Say About Us. Bloomsbury Press, London (2011)Rangel, F., Hernández, I., Rosso, P., Reyes, A.: Emotions and irony per gender in Facebook. In: Proceedings of the Workshop on Emotion, Social Signals, Sentiment & Linked Open Data (ES3LOD), LREC-2014, Reykjavik, Iceland, 26–31 May 2014, pp. 68–73 (2014)Rangel, F., Rosso, P., Koppel, M., Stamatatos, E., Inches, G.: Overview of the author profiling task at PAN 2013. In: Forner et al. [7]Rangel, F., Rosso, P., Chugur, I., Potthast, M., Trenkmann, M., Stein, B., Verhoeven, B., Daelemans, W.: Overview of the 2nd author profiling task at PAN 2014. In: Cappellato, L., Ferro, N., Halvey, M., Kraaij, W. (eds.) Notebook Papers of CLEF 2014 LABs and Workshops, vol. 1180, pp. 951–957. CEUR-WS.org (2014)Rangel, F., Rosso, P.: On the multilingual and genre robustness of EmoGraphs for author profiling in social media. In: Mothe, J., Savoy, J., Kamps, J., Pinel-Sauvagnat, K., Jones, G.J.F., SanJuan, E., Cappellato, L., Ferro, N. (eds.) CLEF 2015. LNCS, vol. 9283, pp. 274–280. Springer, Cham (2015). doi: 10.1007/978-3-319-24027-5_28Rangel, F., Rosso, P.: On the impact of emotions on author profiling. Inf. Process. Manag. 52(1), 73–92 (2016)Schler, J., Koppel, M., Argamon, S., Pennebaker, J.W.: Effects of age and gender on blogging. In: AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs, AAAI, pp. 199–205 (2006)Soler-Company, J. Wanner, L.: Use of discourse and syntactic features for gender identification. In: The Eighth Starting Artificial Intelligence Research Symposium. Collocated with the 22nd European Conference on Artificial Intelligence, pp. 215–220 (2016)Soler-Company, J., Wanner, L.: On the relevance of syntactic and discourse features for author profiling and identification. In: 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Valencia, Spain, pp. 681–687 (2017)Strapparava, C., Valitutti, A.: WordNet affect: an affective extension of WordNet. In: Proceedings of the 4th International Conference on Language Resources and Evaluation, Lisboa, pp. 1083–1086 (2004)Watts, D.J., Strogatz, S.H.: Collective dynamics of ‘small-world’ networks. Nature 393(6684), 409–410 (1998)Yang, Y., Pedersen, J.O.: A comparative study on feature selection in text categorization. In: Proceedings of the Fourteenth International Conference on Machine Learning, ICML, pp. 412–420 (1997
Relación entre el estado nutricional y los índices CPOD y CEO-D en niños de nivel primario de la Institución Educativa N° 71016 María Auxiliadora - Juliaca 2023
No full textLa presente investigación, titulada "Relación entre el estado nutricional y el índice CPOD y
ceo - d en niños de nivel primario de la Institución Educativa N° 71016 María Auxiliadora -
Juliaca, 2023", tuvo como objetivo general explorar la conexión entre el estado nutricional y
la prevalencia de caries dental, evaluada a través de los índices CPOD y ceo - d, en la
población infantil de nivel primario.
Método: Se empleó un diseño no experimental, transversal y cuantitativo. La muestra incluyó
a niños de la institución educativa mencionada, a quienes se les realizaron medidas
antropométricas para determinar su estado nutricional y exámenes bucales para evaluar los
índices CPOD y ceo - d.
Resultados: Se identificó una alta prevalencia de sobrepeso en el 56.7% de los niños, mientras
que la obesidad afectó al 20.7%. La desnutrición se presentó en un espectro que va desde
leve (11.4%) hasta severa (7.3%), y solo un 2.7% de los niños se encontró en un estado
nutricional normal. En cuanto a la salud bucal, la mayoría de los niños presentaron un índice
CPOD clasificado como "Muy bajo" (73.5%), y un porcentaje menor en las categorías
"Moderado" y "Alto". El índice ceo - d mostró que un 66.8% de los niños se encontraba en
la categoría "Muy bajo", con un porcentaje significativo en las categorías "Alto" y "Muy
alto".
Conclusión: Los hallazgos indican una relación estadísticamente significativa entre el estado
nutricional y los índices CPOD y ceo - d. Los niños con sobrepeso y obesidad mostraron
índices más altos de CPOD y ceo - d, sugiriendo que el exceso de peso podría ser un factor
de riesgo considerable para el desarrollo de caries dental en esta población infantil
Centro cultural educativo Juan Rey, Bogotá : la permeabilidad espacial como estrategia del recorrido arquitectónico en busca de la conexión entre el paisaje y el edificio
No full textSe desarrolló un equipamiento urbano, que tiene como tema la arquitectura para la educación infantil, el cual proveerá educación de manera integral, recreación y servicios alimenticios a niños y niñas y de la primera infancia de 0 a 5 años, mujeres y madres cabeza de hogar. El proyecto se localiza en la cuidad de Bogotá, localidad de Usme, UPZ 52 La Flora, en el barrio Juan Rey sur. El centro cultural educativo Juan Rey, nace a partir del concepto: La permeabilidad espacial como estrategia del recorrido arquitectónico en busca de la conexión entre el paisaje y el edificio.
El equipamiento se planteó como respuesta a un sector que se caracteriza por el déficit en unidades de infraestructura, falta de espacio público, áreas de recreación y lugares de integración para la comunidad, además de poseer un carácter cerrado y desconexión barrial. En el proyecto se plantean espacios que relacionan las actividades educativas, recreativas y residenciales del sector, que permiten el intercambio de saberes en espacios de aprendizaje, los cuales aumentan las oportunidades de inserción al ámbito laboral y mejoran la calidad de vida de la población y las condiciones de la primera infancia. El modelo de relación espacial y visual es la continuidad, que permite una clara identificación de los espacios y su conexión con el interior y el exterior del edificio, a través de la permeabilidad que permite relacionar usos mixtos, tanto públicos como privados que se articulan con la cuidad, estableciendo una centralidad educativa y cultural en la zona.Requerimientos de
sistema: Adobe Acrobat
ReaderAn urban facility was developed, whose theme is architecture for early childhood education, which will provide comprehensive education, recreation and food services to boys and girls and early childhood from 0 to 5 years old, women and mothers head of household . The project is located in the city of Bogotá, Usme, UPZ 52 La Flora, in the Juan Rey sur neighborhood. The Juan Rey educational cultural center was born from the concept: Spatial permeability as a strategy of the architectural journey in search of the connection between the landscape and the building.
The equipment was proposed as a response to a sector that is characterized by the deficit in infrastructure units, lack of public space, recreation areas and places of integration for the community, in addition to having a closed character and neighborhood disconnection. The project proposes spaces that relate the educational, recreational and residential activities of the sector, that allow the exchange of knowledge in learning spaces, which increase the opportunities of insertion into the work environment and improve the quality of life of the population and the conditions of early childhood. The model of spatial and visual relationship is continuity, which allows a clear identification of the spaces and their connection with the interior and exterior of the building, through the permeability that allows to relate mixed uses, both public and private that are articulated with the city, establishing an educational and cultural centrality in the area
Caracterización fisicoquímica y compuestos bioactivos en los frutos de pitaya (Stenocereus thurberi) de cuatro colores
No full textIn the fruits of wild pitaya (Stenocereus thurberi) four different types of coloration are distinguished (red, red, yellow and orange); The study was carried out in its state of maturation and based on those that presented these colors, in order to determine its color, mineral composition, chemical and nutraceutical quality through a chemical analysis. The fruits had an average of 83 % humidity, 0.8 % ash and 0.1 % fat. The highest contents of total fiber were (38 g kg-1), TSS (13.5 °Brix), glucose (12.6 g 100 g-1), fructose (6.1 g 100g-1), total phenols (1.9 mg EAG g-1) and antioxidant capacity (ORAC, ABTS+) for the orange color. The high values of betacyanins (125.4 mg 100 g-1) and betaxanthins (275.1 mg 100 g-1) are values reported for the red color that also contains a greater number of minerals (K, Ca, Mg, Fe and Mn), followed by red fruits with (N, Na and Cu), orange (P, Zn) and yellow (N, K). The values of the hue angle for the pulp in the four colors of the pitaya were located in the yellowish-reddish region, revealing the visual color for each fruit with the use of the ColorHexa software. The variability in the evaluated characteristics was influenced by the color of the pitaya fruit.En los frutos de pitaya silvestre (Stenocereus thurberi) se distinguen cuatro tipos diferentes de coloración (rojo, tinto, amarillo y anaranjado); el estudio se realizó en su estado de maduración y con base en los que presentaron estos colores, para a través de un análisis químico determinar su color, composición mineral, calidad química y nutracéutica. Los frutos tuvieron en promedio 83 % de humedad, 0.8 % de cenizas y 0.1 % de grasa. Los mayores contenidos de fibra total fueron de (38 g kg-1), SST (13.5 °Brix), glucosa (12.6 g 100 g-1), fructosa (6.1 g 100g-1), fenoles totales (1.9 mg EAG g-1) y capacidad antioxidante (ORAC, ABTS+) para el color anaranjado. Los valores altos de betacianinas (125.4 mg 100 g-1) y betaxantinas (275.1 mg 100 g-1) son valores reportados para el color tinto que también contiene un número mayor de minerales (K, Ca, Mg, Fe y Mn), seguidos de los frutos rojos con (N, Na y Cu), anaranjados (P, Zn) y amarillos (N, K). Los valores del ángulo de matiz para la pulpa en los cuatro colores de la pitaya se situaron en la región amarillenta-rojiza, revelando el color visual para cada fruto con el uso del software ColorHexa. La variabilidad en las características evaluadas estuvo influenciada por el color del fruto de pitaya
Relationship between Psychological Well-being and Suicidal Ideation in Adolescents of the Juana Rangel de Cuellar Educational Institution and the Colegio Oriental N.26 Educational Institution
No full textDigitalLa presente investigación estudió la relación entre el bienestar psicológico y la ideación suicida en una muestra de adolescentes escolarizados de 56 hombres y 92 mujeres, entre las edades de 15 y 18 años, quienes cursaban décimo y once grados en la Institución Educativa Juana Rangel de Cuellar y la Institución Educativa Colegio Oriental N. 26. La metodología utilizada es de tipo cuantitativa, de diseño no experimental, corte transversal y alcance correlacional. De esta forma, para la recolección de la información, se seleccionaron dos instrumentos adaptados y validados en el territorio colombiano, la Escala de Bienestar Psicológico de Ryff y el Inventario de Ideación Suicida Positiva y Negativa – PANSI (Osman et al., 1998). De acuerdo con los resultados de ambas pruebas, en el análisis estadístico, se realizó la prueba de normalidad Kolmogorov-Smirnov para determinar la distribución de las variables, y seguidamente, se evaluó la correlación utilizando la Rho de Spearman, hallando una relación negativa entre las dos variables, por lo tanto, al aumentar el nivel de bienestar psicológico, disminuye el nivel de ideación suicida. De igual importancia, se evidenció rangos más bajos de bienestar psicológico y niveles más altos de ideación suicida en las mujeres. En cuanto a los hallazgos por institución, se encontró mayor número de rangos altos de bienestar psicológico en los adolescentes de la Institución Educativa Colegio Oriental N. 26 y niveles superiores de ideación suicida en los jóvenes de la Institución Educativa Juana Rangel de Cuellar.The present study studied the relationship between psychological well-being and suicidal ideation in a sample of school adolescents of 56 men and 92 women, between the ages of 15 and 18 years, who were studying tenth and eleventh grade in the Educational Institution Juana Rangel de Cuellar and the Educational Institution Colegio Oriental N. 26. The methodology used is of a quantitative type, of non-experimental design, cross-sectional and correlative scope. In this way, for the collection of information, two instruments adapted and validated in the Colombian territory were selected, the Ryff Psychological Well-being Scale and the Inventory of Positive and Negative Suicidal Ideation - PANSI (Osman et al., 1998). According to the results of both tests, in the statistical analysis, the Kolmogorov-Smirnov normality test was performed to determine the distribution of the variables, and then, the correlation was evaluated using Spearman’s Rho, finding a negative relationship between the two variables, therefore, by increasing the level of psychological well-being, the level of suicidal ideation decreases. Of equal importance, lower ranges of psychological well-being and higher levels of suicidal ideation were evident in women. In terms of the findings by institution, a greater number of high psychological well-being ranges were found in adolescents of the Oriental College Educational Institution N. 26 and higher levels of suicidal ideation in young people of the Educational Institution.Resumen ........................................................................................................................................ 15
Summary ....................................................................................................................................... 17
Introducción .................................................................................................................................. 19
Planteamiento del Problema ......................................................................................................... 21
Descripción del Problema ......................................................................................................... 21
Objetivos ....................................................................................................................................... 24
Objetivo general .................................................................................................................... 24
Objetivos específicos ............................................................................................................ 24
Justificación .................................................................................................................................. 25
Área y Línea de Investigación .................................................................................................. 28
Marcos Referenciales .................................................................................................................... 30
Antecedente y Estado del Arte .................................................................................................. 30
Antecedentes internacionales ................................................................................................ 30
Antecedentes nacionales ....................................................................................................... 38
Antecedentes regionales/ locales .......................................................................................... 44
Marco Teórico ........................................................................................................................... 46
Bienestar psicológico ............................................................................................................ 46
Ideación suicida .................................................................................................................... 50
Adolescencia ......................................................................................................................... 53
Marco Conceptual ..................................................................................................................... 56
Institución Educativa Juana Rangel de Cuellar .................................................................... 60
Institución Educativa Colegio Oriental N. 26 ....................................................................... 61
Marco Legal .................................................................................................................................. 63
Constitución política de Colombia 1991 ............................................................................... 63
Ley 1616 de 2013 (enero 21) ................................................................................................ 63
Política nacional de salud mental .......................................................................................... 65
Ley 1090 de 2006 (septiembre 6) ......................................................................................... 65
Política pública de salud mental en Norte de Santander ....................................................... 66
Marco Metodológico ..................................................................................................................... 68
Definición Operacional de Variables ........................................................................................ 68
Hipótesis ................................................................................................................................... 69
Procedimiento ........................................................................................................................... 70
Población, muestra y muestreo ............................................................................................. 72
Instrumentos .......................................................................................................................... 73
Análisis de datos ................................................................................................................... 76
Consideraciones éticas .......................................................................................................... 77
Recursos, Presupuesto y Financiamiento .................................................................................. 78
Presentación de los Resultados y Análisis .................................................................................... 79
Resultados ................................................................................................................................. 79
Variables sociodemográficas ................................................................................................ 79
Bienestar psicológico ............................................................................................................ 80
Ideación suicida .................................................................................................................... 85
Relación entre bienestar psicológico e ideación suicida ....................................................... 89
Discusión................................................................................................................................... 91
Conclusiones y recomendaciones ............................................................................................. 95
Referencias .................................................................................................................................... 99
Apéndices .................................................................................................................................... 113PregradoPsicólog
Gerencia de Diagnóstico y Vigilancia Epidemiológica del Instituto Nacional de Higiene “Rafael Rangel”: Una década de avances y logros
No full textBuscando en los registros de las principales actividades de la Gerencia de Diagnóstico y Vigilancia Epidemiológica ha sido difícil elegir entre tantas vivencias, aquellos elementos que marcaron pauta durante la década 2008 – 2018. No obstante, es de resaltar que los desafíos afrontados ante la aparición de brotes, epidemias y la primera pandemia del siglo XXI, trajeron consigo un cúmulo de experiencias que se presentan en este artículo. Como centro nacional de referencia en las áreas de Bacteriología, Micología y Virología, continuamos aportando soluciones a la salud pública nacional mediante la actualización profesional de nuestro personal y laformación de la generación de relevo, en la que participan profesionales de excelencia, altamente especializados y sensibilizados con la problemática y los requerimientos de nuestra población. Asimismo, a través de la coordinación, supervisión y evaluación de la Red de laboratorios de salud pública, se contribuye con el fortalecimiento del diagnóstico de enfermedades transmisibles y vigilancia epidemiológicaen el país. El trabajo realizado en estos diez años ha sido excelente,crucial y prioritario para enfrentar las emergencias. Debemos seguir trabajando en dos aspectos claves: 1. Mayor integración del laboratorio con el componente epidemiológico y clínico del país para ser más útiles al sistema de salud, y 2. Consolidar la creación del edificio sede del Centro de Diagnóstico de Enfermedades Transmisibles del Instituto Nacional de Higiene “Rafael Rangel” (INHRR), proyecto en el que estamos trabajando con la asesoría de la OPS/OMS
FIGURE 4 in On the identities of Caecilia degenerata Dunn, 1942 and of C. corpulenta Taylor 1968 (Amphibia: Gymnophiona: Caeciliidae) with descriptions of three new species of Caecilia Linnaeus, 1758 from the Cordillera Oriental of Colombia
No full textFIGURE 4. Caecilia epicrionopsoides sp. nov. holotype ICN 58307 from Finca La Isla, Río Batá, Santa María, Boyacá, Colombia. A-B) lateral views of the body. Scale bar equals 12 mm. C, E, G) Head, collars, and anterior of body, D, F, H) terminus, vent, and posterior of body. Scale bar equals 5 mm.Published as part of Fernández-Roldán, Juan David, Lynch, John D. & Medina-Rangel, Guido Fabian, 2023, On the identities of Caecilia degenerata Dunn, 1942 and of C. corpulenta Taylor 1968 (Amphibia: Gymnophiona: Caeciliidae) with descriptions of three new species of Caecilia Linnaeus, 1758 from the Cordillera Oriental of Colombia, pp. 205-228 in Zootaxa 5227 (2) on page 214, DOI: 10.11646/zootaxa.5227.2.3, http://zenodo.org/record/751860
Chat GPT: una herramienta que apuesta por la mejora la escritura creativa de textos narrativos en estudiantes de sexto grado.
No full textEste trabajo parte de la intención de configurar una estrategia pedagógica mediada por la herramienta del Chat GPT para la mejora la escritura creativa de textos narrativos en sexto grado de sexto grado de La IED María Poussepin y La # 103. Para lo cual se buscaron antecedentes teóricos de las teorías del conectivismo y las metodologías activas, así como los principios de la metodología cuantitativa para dar cumplimiento a los propósitos específicos Como identificar los niveles de desempeño en la producción de textos creativos en las estudiantes, a través de una prueba diagnóstica; luego caracterizar las estrategias utilizadas por los profesores en la producción de textos en sexto grado, para finalmente organizar una propuesta a partir de los fundamentos teóricos y metodológicos que respaldan la utilización del Chat GPT como herramienta para la producción de textos narrativos; y finalmente, validar desde la percepción de los actores educativos la pertinencia del Chat GPT como herramienta metodológica para potenciar la escritura creativa en las estudiantes participantes.This work is based on the intention of configuring a pedagogical strategy mediated by the GPT chat tool to improve the creative writing of narrative texts in the sixth grade of the IED María Poussepin and La # 103. For which theoretical background of the theories of connectivism and active methodologies, as well as the principles of quantitative methodology to fulfill the specific purposes. How to identify the levels of performance in the production of creative texts in students, through a diagnostic test; then characterize the strategies used by teachers in the production of texts in sixth grade, to finally organize a proposal based on the theoretical and methodological foundations that support the use of Chat GPT as a tool for the production of narrative texts; and finally, validate from the perception of educational actors the relevance of Chat GPT as a methodological tool to enhance creative writing in participating students.Introducción 12 -- Capítulo 1. Planteamiento del problema 15 -- El panorama de la escritura 15 -- ¿Qué pasa con la escritura de las I.E.D. Marie Poussepin y La # 103 de la ciudad de Barranquilla? 17 -- Formulación del problema 21 -- Justificación 22 -- Objetivos de la investigación 25 -- Objetivos específicos 25 -- Delimitación de la investigación 26 -- CAPÍTULO II. 27 -- Marco de referencia. 27 -- Estado del arte 27 -- Internacional 27 -- Nacional 32 -- Regional 34 -- Marco Teórico 35 -- Chat GPT: aprendizaje asistido por inteligencia artificial (IA) 35 -- Escritura creativa 38 -- Textos narrativos 40 -- Matriz de categorías 42 -- Marco legal 52 -- CAPÍTULO III 55 -- Paradigma 55 -- Método y/o Enfoque de Investigación 56 -- Tipo de Investigación 56 -- Diseño de la Investigación 57 -- Técnicas e Instrumentos de Recolección de Datos 58 -- Contexto y sujetos de la Investigación 61 -- Procedimiento de la investigación 62 -- Validez y Credibilidad de los instrumentos 63 -- Consideraciones éticas 63 -- CAPITULO IV 65 -- Resultados 65 -- Niveles de desempeño en la producción de textos creativos en las estudiantes de 6° 65 -- Caracterización de las estrategias utilizadas por los profesores en la producción de textos 69 -- Fundamentos teóricos y metodológicos que respaldan la utilización del Chat GPT como herramienta para la producción de textos narrativos. 73 -- Percepción de los actores educativos la pertinencia del Chat GPT como herramienta metodológica para potenciar la escritura creativa 86 -- Conclusiones 89 -- Recomendaciones 91 -- Referencias 92 -- Anexos 95Magíster en Educación – Modalidad VirtualMaestrí
- …
