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ECNU: A Combination Method and Multiple Features for Aspect Extraction and Sentiment Polarity Classification

  • Fangxi Zhang
  • , Zhihua Zhang
  • , Man Lan*
  • *此作品的通讯作者
  • East China Normal University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper reports our submissions to the four subtasks of Aspect Based Sentiment Analysis (ABSA) task (i.e., task 4) in SemEval 2014 including aspect term extraction and aspect sentiment polarity classification (Aspect-level tasks), aspect category detection and aspect category sentiment polarity classification (Category-level tasks). For aspect term extraction, we present three methods, i.e., noun phrase (NP) extraction, Named Entity Recognition (NER) and a combination of NP and NER method. For aspect sentiment classification, we extracted several features, i.e., topic features, sentiment lexicon features, and adopted a Maximum Entropy classifier. Our submissions rank above average.

源语言英语
主期刊名8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings
编辑Preslav Nakov, Torsten Zesch
出版商Association for Computational Linguistics (ACL)
252-258
页数7
ISBN(电子版)9781941643242
DOI
出版状态已出版 - 2014
活动8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014 - Dublin, 爱尔兰
期限: 23 8月 201424 8月 2014

出版系列

姓名8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings

会议

会议8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014
国家/地区爱尔兰
Dublin
时期23/08/1424/08/14

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