Abstract
Opinion Mining is a useful tool for gathering information about customers’ opinions about products, brands or companies. Much research in this area has been done in recent years and a couple of tools and methods can be identified. However, there are still challenges related to user generated content or texts in German language. This paper proposes an approach to combine existing methods and tools for analyzing the sentiment orientation of text and evaluates these methods.
| Originalsprache | Englisch |
|---|---|
| Titel | Proceedings of the 2011 international Conference on E-Learning, E-Business, Enterprise Information Systems & E-Government |
| Herausgeber (Verlag) | CSREA Press |
| Seiten | 3-9 |
| ISBN (Print) | 1-60132-176-7 |
| Publikationsstatus | Veröffentlicht - 2011 |
| Veranstaltung | EEE'11 - Las Vegas, USA/Vereinigte Staaten Dauer: 18 Juli 2011 → 21 Juli 2011 http://www.world-academy-of-science.org/worldcomp11/ws/conferences/eee11 |
Konferenz
| Konferenz | EEE'11 |
|---|---|
| Land/Gebiet | USA/Vereinigte Staaten |
| Ort | Las Vegas |
| Zeitraum | 18.07.2011 → 21.07.2011 |
| Internetadresse |
Schlagwörter
- information retrieval
- text mining
- sentiment analysis
- opinion mining