Journal of Information Resources Management ›› 2016, Vol. 6 ›› Issue (1): 4-11.doi: 10.13365/j.jirm.2016.01.004

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A Review of Research on Online Reviews Information Mining

Fang Wenmin Zhang Ning Han Yanyan   

  • Received:2015-01-14 Online:2016-01-26 Published:2016-01-26


The online reviews have become the important information source of consumers making purchase decisions in the current online shopping mode. However, the rapid accumulation of reviews is an unprecedented challenge for consumers in the process of information processing and using, which makes the research value and practical value of text mining technology more and more prominent. We try to do systematic and comprehensive review on online review information mining on the basis of related literatures in recent years, summarizing three mainstream research methods of online review information mining: information extraction, sentiment analysis, text categorization and the commercial application of the research conclusions. Finally, we point out the future research direction based on the current online review information mining research. 

Key words: Online review,  Text mining,  Information extraction,  Sentiment analysis,  Text categorization

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