Topic-aware sentiment prediction for Chinese ConceptNet

Po Hao Chou, Richard Tzong Han Tsai, Jane Yung Jen Hsu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

Sentiment dictionary is a valuable resource in sentiment analysis research. Previous works propagate sentiment values from existing high quality dictionary on semantic networks to build wide coverage dictionary efficiently. But this approach suffers from quality degradation during propagation. In this work, we propose a topic-aware propagation method on Chinese ConceptNet to ease the issue. With this approach, every terms will have different sentiment values under different topics. The experimental result shows that the generated topic-aware sentiment dictionary helps improve the performance of polarity classification for texts.

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主出版物標題TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence
發行者Institute of Electrical and Electronics Engineers Inc.
頁面419-426
頁數8
ISBN(電子)9781467396066
DOIs
出版狀態已出版 - 12 2月 2016
事件Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015 - Tainan, Taiwan
持續時間: 20 11月 201522 11月 2015

出版系列

名字TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence

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???event.eventtypes.event.conference???Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015
國家/地區Taiwan
城市Tainan
期間20/11/1522/11/15

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