[Purpose/significance] Data Collection is the first step of the study of Network Public Opinion. The construction of Heat Assessment Model for Tweets of Network Public Opinion will rapidly screen useful data over dramatic number of data.[Method/process] This paper cites the definition of Average Self-Information, applies Analytic Hierarchy Process (AHP) and Haker News Ranking Algorithm to construct a Heat Assessment Model for Tweets of Network Public Opinion.[Result/conclusion] Through the calculation of data collected from Weibo, this paper obtains the threshold of this data set. Then this paper tests the accuracy of the model, which proves this model could achieve the heat calculation precisely.
Huang Wei
,
Liu Yi
,
Xu Yejing
,
Sun Yue
. The Construction of Heat Assessment Model for Tweets of Network Public Opinion[J]. Library and Information Service, 2019
, 63(20)
: 17
-25
.
DOI: 10.13266/j.issn.0252-3116.2019.20.002
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