[Purpose/significance] A social Q&A community information credibility evaluation method based on online reviews was proposed, aiming to provid an effective methods for information governing.[Method/process] The paper constructed the evaluation system of online community information reliability based on online reviews, and the indicator weight was determined by improved AHP theory. The LSTM model was used to classify the reviews emotion, and the improved D-S evidence theory model was used to fuse the emotion classification data. Taking ZhiHu Community as an example, the credibility of network information content was calculated from three perspectives:screened online reviews with credible opinion evaluation, all online reviews and questionnaires.[Result/conclusion] The experimental results showed that the ranking of the credibility value of this method was basically the same as that of the ranking obtained by the questionnaire. It showed that it is feasible to evaluate the credibility of the network information by online review.
Guo Jia
,
Guo Yong
,
Shen Wang
,
Pan Mengya
. Credibility Evaluating Method of Online Community Information Based on Online Reviews[J]. Library and Information Service, 2019
, 63(17)
: 137
-144
.
DOI: 10.13266/j.issn.0252-3116.2019.17.016
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