Paper Info
Title
Opinion mining of customer feedback data on the web
Abstract
As people leave on the Web their opinions on products and services they have used, it has become important to develop methods of (semi-)automatically classifying and gauging them. The task of analyzing such data, collectively called customer feedback data, is known as opinion mining. Opinion mining consists of several steps, and multiple techniques have been proposed for each step. In this paper, we survey and analyze various techniques that have been developed for the key tasks of opinion mining. On the basis of our survey and analysis of the techniques, we provide an overall picture of what is involved in developing a software system for opinion mining.
Year
DOI
Venue
2008
10.1145/1352793.1352842
ICUIMC
Keywords
Field
DocType
software system,overall picture,multiple technique,opinion mining,key task,customer feedback data,various technique,data collection,software systems
Data science,World Wide Web,Web mining,Customer feedback,Computer science,Sentiment analysis,Software system
Conference
Citations 
PageRank 
References 
37
2.72
22
Authors
3
Name
Order
Citations
PageRank
Dongjoo Lee118212.87
Ok-Ran Jeong218122.02
Sang-goo Lee3832151.04