ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews

Anthology ID:: S15-2125
Volume:: Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
Month:: June
Year:: 2015
Address:: Denver, Colorado
Venue:: SemEval
SIG:: SIGLEX
Publisher:: Association for Computational Linguistics
Note:
Pages:: 736–741
Language:
URL:: https://aclanthology.org/S15-2125
DOI:: 10.18653/v1/S15-2125
Bibkey:
Cite (ACL):: Zhihua Zhang and Man Lan. 2015. ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 736–741, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):: ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews (Zhang & Lan, SemEval 2015)
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PDF:: https://preview.aclanthology.org/paclic-22-ingestion/S15-2125.pdf