NDLI: Mining the Web for Sympathy: The Pussy Riot Case

Content Provider	IEEE Xplore Digital Library
Author	Westling, A. Brynielsson, J. Gustavi, T.
Copyright Year	2014
Description	Author affiliation: KTH R. Inst. of Technol., Stockholm, Sweden (Westling, A.; Brynielsson, J.; Gustavi, T.)
Abstract	With social media services becoming more and more popular, there now exists a constant stream of opinions publicly available on the Internet. In crisis situations, analysis of social media data can improve situation awareness and help authorities to provide better assistance to the affected population. The large amount of activity on social media services makes manual analysis infeasible. Thus, an automatic system that can assess the situation is desirable. In this paper we present the results of training machine learning classifiers to being able to label tweets with one of the sentiment labels positive, neutral, and negative. The classifiers were evaluated on a set of Russian tweets that were collected immediately after the much debated verdict in the 2012 trial against members of the Russian punk rock collective Pussy Riot. The aim for the classification process was to label the tweets in the dataset according to the author's sentiment towards the defendants in the trial. The results show that the obtained classifiers do not accurately and reliably classify individual tweets with sufficient certainty. However, the classifiers do show promising results on an aggregate level, performing significantly better than a majority class baseline classifier would.
Starting Page	123
Ending Page	128
File Size	172189
Page Count	6
File Format	PDF
e-ISBN	9781479963645
DOI	10.1109/JISIC.2014.27
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-24
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Support vector machines Text mining Sentiment analysis Crisis management Accuracy Training data Media Twitter Pussy Riot
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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