Text mining and literary work appreciation based on Python

This paper uses python crawler technology to mine the novel text of A Dream of Red Mansions and uses it as text data for text analysis. Python's Jieba library and WordCloud library are used to make word segmentation, word frequency statistics and word cloud map of the two novel text data. Combined with Gephi's visualization of text data, Python is used to conduct text clustering and emotion analysis of the novel, and the comparative analysis of the novel. From this, the core characters in A Dream of Red Mansions are Baoyu, and the overall emotion of the novel and the emotional tendency of the main characters in the novel are positive, and the conclusion that the literary style of the first 80 times and the last 40 times is quite different.