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This paper aims to make Tales of Genji visible by using natural languageprocessing, mathematic analysis, emiton analysis. Based on novel, mining datafrom content of this novel at respect of information abstracting. Summing upthe fundamental method of novel visualization, our work are as follows: Basedon frequency analysis, we use tf-did to abstract keyword of Newly TranslatedTale of Genji, which means the most important word in each chapter. Werecognize the emotion of word to analysis the emotion of each chapter of NewlyTranslated Tale of Genji. Next, we think about the connection between theresult of emotion analysis and literature analysis, showing we can get sameresult by natural language processing. We build a network of all the wordapperanced in Newly Translated Tale of Genji. Make a study of relationshipsbetween words. Further, we search the writer of Uji Chapters.

About how to make novel Visible by using Newly Translated Tale of Genji as an example