Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news

Knowledge-Based Systems

Volumn 41, Issue , 2013, Pages 89-97

  Yu, Liang Chih ^a   Wu, Jheng Long ^a   Chang, Pei Chann ^a   Chu, Hsuan Shou ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Contextual entropy model; Natural language processing; Sentiment classification; Stock market news; Word expansion

Indexed keywords

CLASSIFICATION PERFORMANCE; ENTROPY MEASURE; ENTROPY MODEL; EXPANSION METHODS; NATURAL LANGUAGE PROCESSING; NEWS ARTICLES; POINTWISE MUTUAL INFORMATION; SEED WORDS; SENTIMENT CLASSIFICATION; STOCK MARKET; STOCK TREND PREDICTION;

COMMERCE; DATA MINING; ENTROPY; NATURAL LANGUAGE PROCESSING SYSTEMS;

INVESTMENTS;

EID: 84873706018     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2013.01.001     Document Type: Article

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