Thread Specific Features Are Helpful For Identifying Subjectivity Orientation of Online Forum Threads

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Paper discussing thread specific features for identifying subjectivity orientation of online forum threads.

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16 p.

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Biyani, Prakhar; Bhatia, Sumit; Caragea, Cornelia & Mitra, Prasenjit October 2012.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 244 times , with 12 in the last month . More information about this paper can be viewed below.

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Paper discussing thread specific features for identifying subjectivity orientation of online forum threads.

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16 p.

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This is the authors manuscript version of the paper. The final definitive version can be found through the Association of Computing and Machinery (ACM): http://dl.acm.org/citation.cfm?doid=2396761.2398675

Abstract: Subjectivity analysis has been actively used in various applications such as opinion mining of customer reviews in online review sites, questions-answering in CQA sites, multi-document summarization, etc. However, there has been very little focus on subjectivity analysis in the domain of online forums. Online forums contain huge amounts of user-generated data in the form of discussions between forum members on specific topics and are a valuable source of information. In this work, we perform subjectivity analysis of online forum threads. We model the task as a binary classification of threads in one of the two classes: subjective and non-subjective. Unlike previous works on subjectivity analysis, we use several non-lexical thread-specific features for identifying subjectivity orientation of threads. We evaluate our methods by comparing them with several state-of-the art subjectivity analysis techniques. Experimental results on two popular online forums demonstrate that our methods outperform strong baselines in most of the cases.

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  • Proceedings of the Twenty-Fourth International Conference on Computational Linguistics (COLING), 2012, Mumbai, India

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  • October 2012

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  • Sept. 20, 2013, 3:37 p.m.

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  • March 27, 2014, 1:31 p.m.

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Biyani, Prakhar; Bhatia, Sumit; Caragea, Cornelia & Mitra, Prasenjit. Thread Specific Features Are Helpful For Identifying Subjectivity Orientation of Online Forum Threads, paper, October 2012; [New York, New York]. (digital.library.unt.edu/ark:/67531/metadc181701/: accessed August 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.