Paper: Examining The Role Of Linguistic Knowledge Sources In The Automatic Identification And Classification Of Reviews

ACL ID P06-2079
Title Examining The Role Of Linguistic Knowledge Sources In The Automatic Identification And Classification Of Reviews
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

This paper examines two problems in document-level sentiment analysis: (1) de- termining whether a given document is a review or not, and (2) classifying the po- larity of a review as positive or negative. We first demonstrate that review identifi- cation can be performed with high accu- racy using only unigrams as features. We then examine the role of four types of sim- ple linguistic knowledge sources in a po- larity classification system.