Automatic Detection of Opinion Bearing Words and Sentences
Soo-Min Kim, Eduard H. Hovy · International Joint Conference on Natural Language Processing · 2005
We describe a sentence-level opinion detection system. We first define what an opinion means in our research and introduce an effective method for obtaining opinion-bearing and nonopinion-bearing words. Then we describe recognizing opinion-bearing sentences using these words We test the system on 3 different test sets: MPQA data, an internal corpus, and the TREC2003 Novelty track data. We show that our automatic method for obtaining opinion-bearing words can be used effectively to identify opinion-bearing sentences.