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Research on Opinion Extraction Mechanism of Web Information Reviews in New Media Times
Received date: 2015-06-05
Revised date: 2015-07-04
Online published: 2015-07-20
[Purpose/significance] Identifying the public typical opinions from the redundant web reviews is helpful for public opinion analysis task. [Method/process] This paper proposes a method how to extract representative public opinions from web reviews with an unsupervised method. Firstly, it extracts the sentences from reviews which contains the high frequency terms reviews content, based on the template pre-defineded; secondly, it considers the relevance between reviews and corresponding articles, and extracts the pointwise-mutual information between terms in the sentences of candidate public opinions. Then it disposes the sentences and gets the final results that can reflect netizens' opinions.[Result/conclusion] The experiment result shows that the method proposed can effectively identify the sentences that have informative, readable, and convey the major opinions.
Zeng Runxi , Wang Junze , Du Hongtao . Research on Opinion Extraction Mechanism of Web Information Reviews in New Media Times[J]. Library and Information Service, 2015 , 59(14) : 111 -116,148 . DOI: 10.13266/j.issn.0252-3116.2015.14.016
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