A Review Analysis System for Cartoon, Comic, and Light-Novel without Interference of Words Describing the Plot
Date Issued
2016
Date
2016
Author(s)
Liao, Pei-Jun
Abstract
In recent years, there are many author and publishing house want to join the market of cartoon, comic, and novel. So, they may want to find what type of book do readers like. In the Internet, there are so many critics and impressions in it. They may become important indicator to help finding the stream of market. Many researches use key word extraction and analysis of sentence structure. However, in the critics or impressions, we can find the sentence of story discussing or statement in them. It may make us finding the opinion sentence more difficult. In this paper, we use POS tagging and Parsing Tree and relation between nearby sentence to solve this problem. Different from the former work that only had opinion feature word dictionary, we construct a story feature word dictionary to help us taking the story sentence apart. It can improve the accuracy of opinion judgment.
Subjects
Natural Language Processing
Opinion Mining
Sentiment Analysis
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-105-R02942138-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):5133c415ac2ceee4272ea823b2a03108