Abstract
In this paper we present a state of the art review of Opinion Mining from online customer feedback. We critically evaluate the existing work and expose cutting edge area of interest in opinion mining. We also classify the approaches taken by different researchers into several categories and sub-categories. Each of those steps is analyzed with their strength and limitations in this paper.
| Original language | English |
|---|---|
| Pages (from-to) | 4-7 |
| Number of pages | 4 |
| Journal | The 9th Asia-Pacific Complex Systems Conference |
| Issue number | November |
| Publication status | Published - 2009 |
Keywords
- components of the object
- customer feedback
- data mining
- extract attributes and
- on
- opinion
- opinion mining aims to
- sentiment analysis
- text mining
- that have been commented