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