In this paper we investigate how to automatically determine the subjectivity orientation of questions posted by real users in community question answering (CQA) portals. Subjective questions seek answers containing private states, such as personal opinion and experience. In contrast, objective questions request objective, verifiable information, often with support from reliable sources. Knowing the question orientation would be helpful not only for evaluating answers provided by users, but also for guiding the CQA engine to process questions more intelligently. Our experiments on Yahoo! Answers data show that our method exhibits promising performance.
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Subjectivity Analysis for Questions in QA Communities
by Baoli Li, Yandong Liu, Ashwin Ram, Ernie Garcia, Eugene Agichtein
31st Annual International ACM SIGIR Conference (ACM-SIGIR-08), Singapore, July 2008www.cc.gatech.edu/faculty/ashwin/papers/er-08-02.pdf