Sentiment analysis via integrating distributed representations of variable-length word sequence-Reference-Cited by-同舟云学术

Sentiment analysis via integrating distributed representations of variable-length word sequence

Published:2016-04 Issue: Volume:187 Page:126-132
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Cui Zhijian,Shi Xiaodong,Chen Yidong

Funder

Natural Science Foundation of China

Key Technologies R&D Program of China

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Fujian Province, China

Doctoral Program of Higher Education of China

Ph.D. Programs Foundation of Ministry of Education of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

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3. D. Bollegala, D. Weir, J. Carroll, Using multiple sources to construct a sentiment sensitive thesaurus for cross-domain sentiment classification, in: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1, Association for Computational Linguistics, 2011, pp. 132–141.

4. Libsvm;Chang;ACM Trans. Intell. Syst. Technol. (TIST),2011

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