Summary: Exploring Question Subjectivity Prediction in Community QA
Baoli Li1 Yandong Liu1 Ashwin Ram2 Ernest V. Garcia1 Eugene Agichtein1
2Georgia Institute of Technology
In this paper we begin to 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.
Categories and Subject Descriptors
H.3.5 [Information Storage and Retrieval]: On-line Information