450 research outputs found
Existence of solutions of integral equations via fixed point theorems
No full textGulyaz, Selma/0000-0002-1876-6560; ERHAN, INCI M./0000-0001-6042-3695Existence and uniqueness of fixed points of a mapping defined on partially ordered G-metric spaces is discussed. The mapping satisfies contractive conditions based on certain classes of functions. The results are applied to the problems involving contractive conditions of integral type and to a particular type of initial value problems for the nonhomogeneous heat equation in one dimension. This work is a generalization of the results published recently in (Gordji et al. in Fixed Point Theory Appl. 2012:74, 2012, doi:10.1186/1687-1812-2012-74) to G-metric space
Fixed Points of Α-Admissible Meir-Keeler Contraction Mappings on Quasi-Metric Spaces
No full textERHAN, INCI M./0000-0001-6042-3695; Alsulami, Hamed Hamdan/0000-0001-5188-2830; GULYAZ OZYURT, Selma/0000-0002-1876-6560We introduce alpha-admissible Meir-Keller and generalized alpha-admissible Meir-Keller contractions on quasi-metric spaces and discuss the existence of fixed points of such contractions. We apply our results to G-metric spaces and express some fixed point theorems in G-metric spaces as consequences of the results in quasi-metric spaces
Gender prediction from tweets: Improving neural representations with hand-crafted features
No full textAuthor profiling is the characterization of an author through some key attributes
such as gender, age, and language. In this paper, a RNN model with Attention
(RNNwA) is proposed to predict the gender of a twitter user using their tweets.
Both word level and tweet level attentions are utilized to learn ’where to look’.
This model1 is improved by concatenating LSA-reduced n-gram features with the
learned neural representation of a user. Both models are tested on three languages:
English, Spanish, Arabic. The improved version of the proposed model (RNNwA
+ n-gram) achieves state-of-the-art performance on English and has competitive
results on Spanish and Arabic
Gender prediction from tweets: Improving neural representations with hand-crafted features
Get PDFAuthor profiling is the characterization of an author through some key attributes
such as gender, age, and language. In this paper, a RNN model with Attention
(RNNwA) is proposed to predict the gender of a twitter user using their tweets.
Both word level and tweet level attentions are utilized to learn ’where to look’.
This model1 is improved by concatenating LSA-reduced n-gram features with the
learned neural representation of a user. Both models are tested on three languages:
English, Spanish, Arabic. The improved version of the proposed model (RNNwA
+ n-gram) achieves state-of-the-art performance on English and has competitive
results on Spanish and Arabic
A relativistic opinion mining approach to detect factual or opinionated news sources
Get PDF19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2017; Lyon; France; 28 August 2017 through 31 August 2017The credibility of news cannot be isolated from that of its source. Further, it is mainly associated with a news source’s trustworthiness and expertise. In an effort to measure the trustworthiness of a news source, the factor of “is factual or opinionated” must be considered among others. In this work, we propose an unsupervised probabilistic lexicon-based opinion mining approach to describe a news source as “being factual or opinionated”. We get words’ positive, negative, and objective scores from a sentiment lexicon and normalize these scores through the use of their cumulative distribution. The idea behind the use of such a statistical approach is inspired from the relativism that each word is evaluated with its difference from the average word. In order to test the effectiveness of the approach, three different news sources are chosen. They are editorials, New York Times articles, and Reuters articles, which differ in their characteristic of being opinionated. Thus, the experimental validation is done by the analysis of variance on these different groups of news. The results prove that our technique can distinguish the news articles from these groups with respect to “being factual or opinionated” in a statistically significant way.Scientific and Technological Research Council of Turkey under contract number 114E78
Gender prediction from Turkish tweets with neural networks
No full text27th Signal Processing and Communications Applications Conference, SIU 2019 -- 24 April 2019 through 26 April 2019Author profiling is the characterization of an author through some key attributes such as gender, age, and language. It's an indispensable task especially in security and marketing. In this work, the gender of a Twitter user is predicted using his/her tweets. A model combining a recurrent neural network (RNN) with an attention mechanism is proposed. As far as we know such a predictive analytics is performed in Turkish Twitter dataset for the first time, and the proposed model is tested in Turkish, English, Spanish, and Arabic with accuracy scores of 80.63, 81.73, 78.22, 78.5 respectively. The accuracy values obtained exhibit state-of-the-art in Turkish and competitive performance in the other languages. © 2019 IEEE.Yazar ayrımlaması, yazarı bilinmeyen bir metin üzerinden yazarına dair cinsiyet, yaş ve dil gibi bazı anahtar
özniteliklerin belirlenmesidir. Özellikle güvenlik ve pazarlama alanında önem arz etmektedir. Bu çalışmada, kullanıcıların tweetleri kullanılarak cinsiyetleri tahminlenmektedir. Yinelemeli Sinir Ağı (YSA) ve ilgi mekanizmasının birleşiminden oluşan bir model önerilmiştir. Bildiğimiz kadarıyla bu çalışma Twitter veri
kümesi ile Türkçe’de ilk defa yapılmıştır. Önerilen model Türkçe, İngilizce, İspanyolca ve Arapça dillerinde sınanmış ve sırasıyla 80.63, 81.73, 78.22, 78.5 doğruluk değerlerine ulaşılmıştır. Elde edilen doğruluk değerleri Türkçe’de en gelişkin, diğer dillerde ise rekabetçi bir başarım ortaya koymaktadır
Gender prediction from Tweets with convolutional neural networks: Notebook for PAN at CLEF 2018
Get PDF19th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2018; Avignon; France; 10 September 2018 through 14 September 2018This paper presents a system1 developed for the author profiling task of PAN at CLEF 2018. The system utilizes style-based features to predict the gender information from the given tweets of each user. These features are automatically extracted by Convolutional Neural Networks (CNN). The system mainly depends on the idea that the informativeness of each tweet is not the same in terms of the gender of a user. Thus, the attention mechanism is included to the CNN outputs in order to discriminate the tweets carrying more information. Our architecture was able to obtain competitive results on three languages provided by the PAN 2018 author profiling challenge with an average accuracy of 75.1% on local runs and 70.23% on the submission run
Gender prediction from Tweets with convolutional neural networks: Notebook for PAN at CLEF 2018
No full text19th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2018; Avignon; France; 10 September 2018 through 14 September 2018This paper presents a system1 developed for the author profiling task of PAN at CLEF 2018. The system utilizes style-based features to predict the gender information from the given tweets of each user. These features are automatically extracted by Convolutional Neural Networks (CNN). The system mainly depends on the idea that the informativeness of each tweet is not the same in terms of the gender of a user. Thus, the attention mechanism is included to the CNN outputs in order to discriminate the tweets carrying more information. Our architecture was able to obtain competitive results on three languages provided by the PAN 2018 author profiling challenge with an average accuracy of 75.1% on local runs and 70.23% on the submission run
"Selma" : "Selma"
No full textAbstract The author Selma Lagerlöf was born in 1858 at Mårbacka, in Värmland and died in 1940. Fifty years after Selma´s death were her correspondence released and ten thousand of letters were found in the collection. But it was just the correspondence between Selma and Sofie Elkan who interested people because they wanted to know if Selma and Sofie have had a sexual relationship. Later, in time for Christmas 2008 the Swedish Television shows a film about Selma. "Selma Lagerlöf Society" was critical to the movie and thougt that the movie focused too much on Selma`s sexual orientation. This situation aroused a curiosity and a desire to find out why the film was perceived in this way. The purpose of this work is to show how the producer uses gender constructions to show that Selma was a lesbian and for that reason a thematic analysis was made from a social constructionist perspective. Different themes about gender constructions emerge in the analysis, and those themes are presented together with feminist theorist as Judith Butler, Yvonne Hirdman and Simone De Beauvoir. The discussion is about the presentation and how this can be perceived, but also about the reasons they might have had in mind when they made the presentation that way.Författarinnan Selma Lagerlöf föddes 20 november 1858, på Mårbacka i Värmland, och dog 16 mars 1940. Femtio år senare släpptes Selmas korrespondens fri. Tiotusentals brev fanns i denna brevsamling men det var endast brevväxlingen mellan Selma och Sofie Elkan som ansågs intressant. Detta på grund av att man ville veta om Selma och Sofie hade en sexuell relation eller inte. Senare lagom till julhelgen 2008 visar Sveriges Television en film i två delar, som handlar om Selma. Bland annat Selma Lagerlöf sällskapet ställde sig kritisk till filmen och menade att man fokuserat för mycket på Selmas sexualitet i filmen. Detta väckte en nyfikenhet och en önskan hos mig, att ta reda på varför filmen uppfattades på detta sätt. Syftet med detta arbete är att visa på hur man i framställningen har använt sig av könskonstruktioner för att visa att Selma var lesbisk Av denna anledning har det gjorts en tematisk analys ur ett socialkonstruktivistiskt perspektiv med utgångspunkt i filmens innehåll . Under analys har olika teman framträtt som på något sätt handlar om könskonstruktioner. Dessa teman presenteras i analysdelen tillsammans med feministisk teorier av bland annat Judith Butler, Yvonne Hirdman och Simone De Beauvoir. I diskussionen behandlas det hur framställningen kan uppfattas och även vilka motiv man kan tänkas ha haft i åtanke när man gjort framställningen på detta sätt
Selma Lagerlöf och Sophie Elkan
Get PDFA description of the friendship between the Swedish children's books author Selma Lagerlöf and the Jewish-Swedish author Sophie Elkan
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