A framework for mining opinions from user generated content
In this thesis we have presented a scalable framework for mining features and opinions from online reviews. Large scale opinion mining requires scalable components for data storage, along with unsupervised learning solutions for extracting features and opinions, with the ultimate goal of generating...
Saved in:
Main Author: | Amit Kumar Saini |
---|---|
Other Authors: | Chang Kuiyu |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/54823 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Aspect-based opinion mining of customer reviews
by: Zhen, Hai
Published: (2014) -
iSEARCH framework : using web structure and summarisation techniques for web content mining
by: Chue, Wai Lian.
Published: (2008) -
Mining with myriads of internet data
by: Murugasamy, Harish.
Published: (2013) -
Text mining with minimum human supervision
by: Lim, Kewin Hong Kwan.
Published: (2012) -
Mining review data to recommend doctors
by: Huang, Lingyun
Published: (2017)