[Purpose/significance] Through the text sentiment analysis technology of the display products' online reviews based on Word2vec, this paper studies the brand awareness and brand reputation of consumers, and provides the feasible suggestions for managers to establish a more scientific brand management system.[Method/process] This paper used the natural language processing technology to preprocess the comments corpus. It combined the deep learning Word2vec technology to build the product key and emotional word dictionary to analyze the characteristic of the brand specific emotions.[Result/conclusion] Compared with the conventional methods (e.g. general emotional vocabulary), the sentiment dictionary constructed by Word2vec improves the accuracy of sentiment analysis, and effectively helps us understand the user's brand awareness with the effective construction of the sentiment concept pair and the sentiment score.
Wang Renwu
,
Song Jiayi
,
Chen Chuanbao
. Application of Sentiment Analysis Based on Word2vec in Brand Awareness[J]. Library and Information Service, 2017
, 61(22)
: 6
-12
.
DOI: 10.13266/j.issn.0252-3116.2017.22.001
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