Sentiment analysis for Chinese reviews of movies in multi-genre based on morpheme-based features and collocations
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DOI: 10.1007/s10796-014-9498-1
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References listed on IDEAS
- Zimin Wu & Gwyneth Tseng, 1993. "Chinese text segmentation for text retrieval: Achievements and problems," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 44(9), pages 532-542, October.
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Cited by:
- Youngseok Choi & Habin Lee, 2017. "Data properties and the performance of sentiment classification for electronic commerce applications," Information Systems Frontiers, Springer, vol. 19(5), pages 993-1012, October.
- DunLu Peng & YinRui Wang & Cong Liu & Zhang Chen, 2020. "TL-NER: A Transfer Learning Model for Chinese Named Entity Recognition," Information Systems Frontiers, Springer, vol. 22(6), pages 1291-1304, December.
- DunLu Peng & YinRui Wang & Cong Liu & Zhang Chen, 0. "TL-NER: A Transfer Learning Model for Chinese Named Entity Recognition," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
- Youngseok Choi & Habin Lee, 0. "Data properties and the performance of sentiment classification for electronic commerce applications," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
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Keywords
Sentiment analysis; Opinion mining; Morpheme; Feature; Collocation; Chinese movie;All these keywords.
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