TY - GEN
T1 - Predicting subjectivity orientation of online forum threads
AU - Biyani, Prakhar
AU - Caragea, Cornelia
AU - Mitra, Prasenjit
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - Online forums contain huge amounts of valuable information in the form of discussions between forum users. The topics of discussions can be subjective seeking opinions of other users on some issue or non-subjective seeking factual answer to specific questions. Internet users search these forums for different types of information such as opinions, evaluations, speculations, facts, etc. Hence, knowing subjectivity orientation of forum threads would improve information search in online forums. In this paper, we study methods to analyze subjectivity of online forum threads. We build binary classifiers on textual features extracted from thread content to classify threads as subjective or non-subjective. We demonstrate the effectiveness of our methods on two popular online forums.
AB - Online forums contain huge amounts of valuable information in the form of discussions between forum users. The topics of discussions can be subjective seeking opinions of other users on some issue or non-subjective seeking factual answer to specific questions. Internet users search these forums for different types of information such as opinions, evaluations, speculations, facts, etc. Hence, knowing subjectivity orientation of forum threads would improve information search in online forums. In this paper, we study methods to analyze subjectivity of online forum threads. We build binary classifiers on textual features extracted from thread content to classify threads as subjective or non-subjective. We demonstrate the effectiveness of our methods on two popular online forums.
UR - http://www.scopus.com/inward/record.url?scp=84875483352&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-37256-8_10
DO - 10.1007/978-3-642-37256-8_10
M3 - Conference contribution
AN - SCOPUS:84875483352
SN - 9783642372551
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 109
EP - 120
BT - Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings
T2 - 14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013
Y2 - 24 March 2013 through 30 March 2013
ER -