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引用本文:?????,???.????Word2Vec??CNN???????????????з??????[J].图书情报工作,1957,64(6):49-58.
作者姓名:?????  ???
作者单位:1. ?????????????????? ?????? 150080; 2. ????????????????????о????? ?????? 150080
摘    要:

关 键 词:??з???  ???????  CNN  Word2Vec  ?????  

A Fine-grained Sentiment Analysis Model for Product Reviews Based on Word2Vec and CNN
Cai Qingping,Ma Haiqun.A Fine-grained Sentiment Analysis Model for Product Reviews Based on Word2Vec and CNN[J].Library and Information Service,1957,64(6):49-58.
Authors:Cai Qingping  Ma Haiqun
Institution:1. School of Information Management, Heilongjiang University, Harbin 150080; 2. Research Center of Information Resource Management, Heilongjiang University, Harbin 150080
Abstract:??Purpose/significance] To construct a fine-grained sentiment analysis model for product reviews based on Word2Vec and CNN.Method/process] This paper firstly applied Word2vec to build product feature vocabulary and noise vocabulary based on product reviews, secondly extracted the feature words from product reviews by the noise vocabulary, then classified the product reviews according to product features sentiment, finally realized product reviews clustering based on product features.Result/conclusion] The model was trained and tested by the reviews of Huawei mobile phone on JingDong Mall,the results showed that the model could effectively realize fine-grained sentiment analysis of product reviews and find out users focus and satisfaction on product features.
Keywords:sentiment analysis  product reviews  CNN  Word2Vec  fine-grained  
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