Comment Extraction from Blog Posts and Its Application to Opinion Mining
Date Issued
2008
Date
2008
Author(s)
Kao, Hung-An
Abstract
In recent years, the style of communications on the Internet is changed due to the growing amount of blogs and bloggers. For example, bloggers may put their commendatory blogs into the blog roll in their blogs, and the relationship between blogs and blogs thus is formed. When a blogger writes a post, he or she may cite other blog posts. This establishes the relationship among blog posts and bog posts. Besides, one of the most differences between blogs and standard web pages is that blogs allow readers to interact with bloggers by placing comments on specific blog posts.Because blog posts usually contain many personal experiences or perspectives toward specific subjects, they are useful materials for opinion mining. Moreover, the comments in a blog post carry the viewpoints of readers toward the targets described in the post or the supportive or nonsupportive attitude toward the post. However, the previous works on opinion mining focus on author’s opinion only. In other words, mining opinions of readers in the comment region is largely ignored. The reason may be the challenges of comment extraction. Each blog service provider provides its unique templates to present comments. A specification of templates among all blog service providers does not exist. Even a blog service provider may have different templates. How to correctly extract each comment from blog posts of different sources is apparently not an easy task.In this thesis, we analyze comments in blog posts, propose methods to deal with comment extraction, and apply our comment extraction results to blog opinion mining. Finally, we conclude with the experimental results of comment extraction and the achievements in blog opinion mining, and state some interesting issues for future work.
Subjects
Blog
Comment Extraction
Opinion Mining
Blog Mining
Feature Selection
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-97-R95922116-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):ddf493edbf1f8d6beece9e4878e814a9