NDLI: Sentence Subjectivity Analysis in Social Domains

Content Provider	IEEE Xplore Digital Library
Author	Karamibekr, M. Ghorbani, A.A.
Copyright Year	2013
Description	Author affiliation: Fac. of Comput. Sci., Univ. of New Brunswick, Fredericton, NB, Canada (Karamibekr, M.; Ghorbani, A.A.)
Abstract	Subjectivity analysis recognizes the contextual polarity of opinions, attitudes, emotions, feelings etc. regarding products, services, topics, or issues. Subjectivity classification categorizes the given text as subjective or objective. While an objective text contains one or more facts about a product or an issue, a subjective text expresses author's opinions. Statistical analysis shows that subjectivity analysis of social issues is different from that of products. This paper focuses on subjectivity analysis of social issues. Subjectivity of a document strongly depends on its sentences. Hence, a lexical-syntactical approach is proposed to recognize and classify subjectivity at the sentence level. This approach considers the role of various opinion terms especially verbs on opinions regarding social issues. Evaluation of the proposed approach on a data-set consisting comments about abortion shows that it slightly outperforms other similar works. It has a good accuracy especially on the strong sentences which express explicit opinions. Its reasonable F-measure demonstrates a good balance between the precision and recall which makes it suitable for applications such as sentiment polarity classification, text sentiment summarization, and opinion question answering.
Starting Page	268
Ending Page	275
File Size	273088
Page Count	8
File Format	PDF
e-ISBN	9780769551456
DOI	10.1109/WI-IAT.2013.39
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Text mining Context Sentiment analysis Opinion Mining Semantics Sentiment classification Syntactics Information retrieval Knowledge discovery Subjectivity analysis
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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