Papers by Guangyi Lv

1 papers
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon (2021.findings-acl)

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Challenge: Existing studies on sentiment lexicons have focused on domain-dependent sentiment words.
Approach: They propose a graph-based technique to detect and correct domain-dependent sentiment words . they propose to use a sentiment lexicon to classify sentiments in a lexical-based classifier .
Outcome: The proposed method is effective on multiple datasets from different domains.

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