NDLI: Sentiment analysis in a hybrid hierarchical classification process

Content Provider	IEEE Xplore Digital Library
Author	Wei Wei Gulla, J.A.
Copyright Year	2012
Description	Author affiliation: Department of Computer and Information Science, Norwegian University of Science and Technology, Sem Sælands vei 7-9, NO-7491 Trondheim, Norway (Wei Wei; Gulla, J.A.)
Abstract	As more and more reviews are generated online, sentiment analysis has been widely studied and developed both in academia and industry recently. In this paper, we propose a novel approach to tackle two complementary sub-tasks of sentiment analysis on review texts, i.e., the Attribute Detection (AD) task and the Sentiment Orientation (SO) task, in a Hybrid Hierarchical Classification Process (HHCP). Specifically, the HHCP approach employs a linear Fisher classifier to achieve the AD task in an ontology-based hierarchical classification process. As evidences show that common statistical classifiers that have superior performances on semantic classifications do not necessarily work well on classifying sentiment information, we did not continue to use the linear Fisher classifier in the SO task. Instead, we turn to a rule-based heuristic classification method on performing sentiment orientation for attributes identified from the AD task. The proposed HHCP approach is empirically analyzed in extensive experiments. Experiments conducted for performance comparison not only show that our proposed HHCP approach outperforms the other three baseline methods, but also address all the concerns raised before experiments. Further experiments on analyzing the impact of dimensionality d of the input vector space confirm that the conclusions drawn from performance comparison hold very well as d varies. Experiments of studying computational efficiency demonstrate that compared with the existing HL-SOT approach our proposed HHCP approach is more efficient in computation.
Starting Page	47
Ending Page	55
File Size	1098469
Page Count	9
File Format	PDF
ISBN	9781467324281
e-ISBN	9781467324304
DOI	10.1109/ICDIM.2012.6360120
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-22
Publisher Place	Macao
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Classification algorithms
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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