[Purpose/significance] This paper aims to explore the hot spot of public opinion and the main point view of the communication of different communicators in the transmission cycle of micro-blog public opinion and to discover the characteristics and laws of public opinion transmission, which can provide the basis for public opinion analysis and decision making.[Method/process] This study is based on the text data of a true public opinion event. It adopted life cycle theory and LDA method to design research process and construct research model, and researched topics of different communicators in micro-blog public opinion events, including topic extraction and semantic annotation, semantic analysis of different communicators at various stages, recognition and characterization of theme views of public opinion based on time dimension.[Result/conclusion] It is found that the research model proposed in this paper can excavate topic theme structure, view and characteristics of different communicators in the communication cycle of public opinion. And the words with actual meaning and irritating function are related, representative and important. At the same time, the conclusion also found a hot topic in the mass media or the official micro-blog is totally different from micro-blog users.
Liao Haihan
,
Wang Yuefen
,
Guan Peng
. Topic Mining and Viewpoint Recognition of Different Communicators in the Transmission Cycle of Micro-blog Public Opinion[J]. Library and Information Service, 2018
, 62(19)
: 77
-85
.
DOI: 10.13266/j.issn.0252-3116.2018.19.010
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