Computer Science ›› 2017, Vol. 44 ›› Issue (10): 283-288.doi: 10.11896/j.issn.1002-137X.2017.10.051

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Method of Short Text Opinion Recognition Based on Feature Extension and Deep Learning

DU Yong-ping, CHEN Shou-qin and ZHAO Xiao-zheng   

  • Online:2018-12-01 Published:2018-12-01

Abstract: This paper put forward the opinion recognition method on microblog short text,which contains a small amount of information,and the feature is sparse.The review and repost information of microblog were used to reconstruct the original microblog text.The tool of Word2vec was adopted to cluster the similar sentiment word for feature extension.And also the feature was learned by deep belief network,which achieves the high-quality sentiment feature.The experimental result on the data of COAE (Chinese opinion analysis evaluation) 2015 denotes that our method alleviates the problem of feature sparseness and also more effective sentimental features are mined.The system performance is improved with the precision of 64.1%。

Key words: Opinion mining,Short text,Feature extension,Deep belief network

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