Mining and analysis of hot topics in Social Media
2021 International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)(2021)
Abstract
In social media, useful data information is mined to identify hot topics and predict the development direction of hot topics. The research method is to use web crawler to obtain relevant data, find new hot topics in media, get the original data, use Jieba to segment words, generate word segmentation results, obtain eigenvalues through Term Frequency - Inverse Document Frequency (TF-IDF) word frequ...
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Key words
Analytical models,Social networking (online),Crawlers,Clustering algorithms,Media,Tools,Eigenvalues and eigenfunctions
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