1,720,981 research outputs found
Social Communication Database
No full textThe dataset was generated by real world text communication in the group conversation. So, maintain the anonymity of the usernames and the mobile numbers of those who participated in the survey. This dataset can be used for education and research purpose only.
The main contribution of this research in text mining is to bring into being a standard dataset for research purpose
in the realm of mining the chat conversation. We have observed that this dataset has an immense density to be utilized
for research purpose. Our applications based on this dataset, you can utilize this dataset into semantic search,
sentiment analysis, semantic clustering of conversation, topic extraction, spam detection, etc. We wish to offer
this dataset for others to collaborate and research on further possibilities.
We have used our algorithms to extract the textual information from whatsapp logs
and stored it in a sqlite database file named as "social conversation.db".
This dataset contains 16225 text messages and 839 distinct users.
We have considered 17 whatsapp groups for extracting the textual information.
Paper: Analysis of foul language usage in social media text conversation
Authors: Sumit Kawate and Kailas Patil
In the Proceedings of the Int. J. Social Media and Interactive Learning Environments (IJSMILE), Vol: 05, Issue: 03, Pages: 227-251, Inderscience, 201
DOI: https://doi.org/10.1504/IJSMILE.2017.087976
The data is stored in an .zip compressed archives. The uncompressed archive is
in 6,020 KB (5.87 MB). Extract with any uncompressed standard software.
## The archive contains the following items: ##
DATABASE/
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+ Executable/ Directory containing executable files.
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+ Social Conversation.db This file contains records of the database in .db format
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+ Source Code/ Directory containing source code files.
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+ Social Conversation (csv).csv This file contains records of the database in .csv format
+ Social Conversation (db).db This file contains records of the database in .db format
+ Social Conversation (html).html This file contains records of the database in .html format.
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+ Read Me/ Directory containing read me file.
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read me.txt This file contains detail information about dataset.
## The data format of the dataset are: ##
=Table Name= -> CONVERSATION
=Atttributes= =Meaning=
USER_ID User id of the text message
TEXT_MSG TextActual text message
CONTACT_NUMBER Contact number of the user (We have masked the few digits of contact number of the user)
DATE Date of the text message
TIME Time of the text message
=Atttributes= =Format=
USER_ID User Id
TEXT_MSG (text messsage in any format)
CONTACT_NUMBER +contactnumber
DATE dd/mm/yy
TIME hh:mm AM or hh:mm PM
=Atttributes= =Sample Example=
USER_ID User 514
TEXT_MSG Any deal on formal shoes with prime
CONTACT_NUMBER +919xxxxx927
DATE 04/12/17
TIME 1:35 AM
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
AN INSECURE WILD WEB: A LARGE-SCALE STUDY OF EFFECTIVENESS OF WEB SECURITY MECHANISMS
No full textThis research work presents a large-scale study of the problems in real-world web applications and widely-used mobile browsers. Through a large-scale experiment, we find inconsistencies in Secure Socket Layer (SSL) warnings among popular mobile web browsers (over a billion users download). The majority of popular mobile browsers on the Google Play Store either provide incomplete information in SSL warnings shown to users or failed to provide SSL warnings in the presence of security certificate errors, thus making it a difficult task even for a security savvy user to make an informed decision. In addition, we find that 28% of websites are using mixed content. Mixed content means a secure website (https) loads a sub resource using insecure HTTP protocol. The mixed content weakens the security of entire website and vulnerable to man-in-the-middle (MITM) attacks. Furthermore, we inspected the default behavior of mobile web browsers and report that majority of mobile web browsers allow execution of mixed content in web applications, which implies billions of mobile browser users are vulnerable to eavesdropping and MITM attacks. Based on our findings, we make recommendations for website developers, users and browser vendors
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