Title :
Using Objective Words in SentiWordNet to Improve Word-of-Mouth Sentiment Classification
Author :
Chihli Hung ; Hao-Kai Lin
Author_Institution :
Dept. of Inf. Manage., Chung Yuan Christian Univ., Chungli, Taiwan
Abstract :
To improve the performance of word-of-mouth sentiment classification, this article reevaluates objective sentiment words in the SentiWordNet sentiment lexicon.
Keywords :
data mining; pattern classification; SentiWordNet; SentiWordNet sentiment lexicon; objective sentiment words; word-of-mouth sentiment classification; Data mining; Emotion recognition; Intelligent systems; Natural language processing; Tagging; Text analysis; Text mining; Web and internet services; Data mining; Emotion recognition; Intelligent systems; Natural language processing; Tagging; Text analysis; Text mining; Web and internet services; Web mining; Web text analysis; document analysis; intelligent systems; opinion mining; sentiment analysis; text mining;
Journal_Title :
Intelligent Systems, IEEE
