Enhancing Sentiment Analysis with Term Sentiment Entropy: Capturing Nuanced Sentiment in Text Classification
Suttipong Klongdee,
Jatsada Singthongchai
Abstract:Sentiment analysis plays a crucial role in understanding customer feedback, guiding product development, and informing business decisions. This paper introduces term sentiment entropy (TSE), a novel weighting method that leverages the distribution of sentiment labels associated with words to enhance text classification accuracy. TSE complements traditional TF-IDF techniques by capturing the nuances of sentiment variation across different contexts. Experiments across diverse public datasets demonstrate TSE's po… Show more
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