Classification of Sina Web popularity topics based on LDA model

This paper intercepts the Web comment data in August 2015, and first analyzes the topics of these comment data through the LDA model, from high to low, which are 'Technology', 'Internet', 'Entertainment', 'Daily life', 'Daily study', which shows that people pay great attention to the topic of science and technology, which is in line with the theme that science and technology are the primary productive forces in today's era. Secondly, the word frequency map and text sentiment analysis are used as supplementary analysis, first through the word frequency map, the high-frequency words in these data are analyzed, and the top three high-frequency words are 'share', 'diamond' and 'China', which benefits from the rapid development of the Internet, so that people can share on the Internet daily, follow dramas and discuss China's development. Then, secondly, the positive sentiment words and negative sentiment words of this data are analyzed through text sentiment analysis to obtain which words are related to positive sentiment content, including 'diamond', 'China', 'data' and so on, which words are related to negative sentiment content, including 'share', 'president', 'phone' and so In summary, when dividing topics through the LDA model, the text data can also be supplemented by drawing word frequency maps and text sentiment analysis.