A Review on Natural Language Processing in Opinion Mining
نویسندگان
چکیده
Opinion Mining is a recent area of interest for Natural Language (NLP) researchers. Peoples are intended to develop a system that can identify and classify opinion or sentiment as represented in an electronic text. Since previous attempts have defined opinion mining as a few sequence of well known standard mechanisms as: Subjectivity Detection, polarity Detection, Degree of polarity identification. The scope of the present research proposal is to develop a system that can identify subjective sentence from an input document and successively identify the polar phrases among the sentences as positive either negative. Multi Perspective Question Answering (MPQA) corpus has been chosen for the present task. The research contribution will rely on finding upon new ways to solve the subjectivity detection or polarity detection as a hard unsolved research problem.
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