Adapting sentiment lexicons to domain-specific social media texts

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• 作者：Shuyuan Deng ^{dengs@uwm.edu}Author Vitae ; Atish P. Sinha ^{sinha@uwm.edu}Author Vitae ; Huimin Zhao ; ^{hzhao@uwm.edu}Author Vitae
• 关键词：Sentiment analysis ; Opinion mining ; Sentiment lexicon ; Lexicon expansion ; Social media
• 刊名：Decision Support Systems
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：94
• 期：Complete
• 页码：65-76
• 全文大小：875 K
• 卷排序：94

文摘

We propose a method to adapt existing sentiment lexicons for domain-specific sentiment classification. The proposed method addresses challenges from both content domain and language domain. We evaluate our method using two large developing corpora and five existing sentiment lexicons as seeds and baselines. The evaluation results demonstrate the usefulness of our method.