Multi-Channel Lexicon Integrated CNN-BiLSTM Models for Sentiment Analysis

Anthology ID:: O17-1023
Volume:: Proceedings of the 29th Conference on Computational Linguistics and Speech Processing (ROCLING 2017)
Month:: November
Year:: 2017
Address:: Taipei, Taiwan
Venue:: ROCLING
SIG:
Publisher:: The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:: 244–253
Language:
URL:: https://aclanthology.org/O17-1023
DOI:
Bibkey:
Cite (ACL):: Joosung Yoon and Hyeoncheol Kim. 2017. Multi-Channel Lexicon Integrated CNN-BiLSTM Models for Sentiment Analysis. In Proceedings of the 29th Conference on Computational Linguistics and Speech Processing (ROCLING 2017), pages 244–253, Taipei, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):: Multi-Channel Lexicon Integrated CNN-BiLSTM Models for Sentiment Analysis (Yoon & Kim, ROCLING 2017)
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PDF:: https://preview.aclanthology.org/ingestion-script-update/O17-1023.pdf