Predicting subjectivity orientation of online forum threads

Prakhar Biyani; Cornelia Caragea; Prasenjit Mitra

doi:10.1007/978-3-642-37256-8_10

Predicting subjectivity orientation of online forum threads

Prakhar Biyani, Cornelia Caragea, Prasenjit Mitra

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings
Pages	109-120
Number of pages	12
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-37256-8_10
State	Published - Apr 3 2013
Event	14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013 - Samos, Greece Duration: Mar 24 2013 → Mar 30 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7817 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013
Country	Greece
City	Samos
Period	3/24/13 → 3/30/13

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All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Cite this

Biyani, P., Caragea, C., & Mitra, P. (2013). Predicting subjectivity orientation of online forum threads. In Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings (PART 2 ed., pp. 109-120). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7817 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-37256-8_10

Biyani, Prakhar ; Caragea, Cornelia ; Mitra, Prasenjit. / Predicting subjectivity orientation of online forum threads. Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings. PART 2. ed. 2013. pp. 109-120 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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abstract = "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.",

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Biyani, P, Caragea, C & Mitra, P 2013, Predicting subjectivity orientation of online forum threads. in Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7817 LNCS, pp. 109-120, 14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013, Samos, Greece, 3/24/13. https://doi.org/10.1007/978-3-642-37256-8_10

Predicting subjectivity orientation of online forum threads. / Biyani, Prakhar; Caragea, Cornelia; Mitra, Prasenjit.

Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings. PART 2. ed. 2013. p. 109-120 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7817 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Biyani P, Caragea C, Mitra P. Predicting subjectivity orientation of online forum threads. In Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings. PART 2 ed. 2013. p. 109-120. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-37256-8_10

Access to Document

10.1007/978-3-642-37256-8_10