Design and research of university Internet public opinion analysis system based on web spider
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Pingping Jia, Xiaodong Guo
The university Internet public opinion analysis system starts from the retrieval of multi-source data, focuses on the public opinion of university teachers and students' speech, detects the hot topics and events concerned by them, and analyzes their views, attitudes and emotions on these topics and events, which has a practical value and a significance in exploratory for university public opinion management and guidance.
University Internet public opinion, Web Spiders, Topic detection, Emotional analysis