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.
Original language | English |
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Title of host publication | Proceedings of the 2011 international Conference on E-Learning, E-Business, Enterprise Information Systems & E-Government |
Publisher | CSREA Press |
Pages | 3-9 |
ISBN (Print) | 1-60132-176-7 |
Publication status | Published - 2011 |
Event | EEE'11 - Las Vegas, United States Duration: 18 Jul 2011 → 21 Jul 2011 http://www.world-academy-of-science.org/worldcomp11/ws/conferences/eee11 |
Conference
Conference | EEE'11 |
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Country/Territory | United States |
City | Las Vegas |
Period | 18.07.2011 → 21.07.2011 |
Internet address |
Keywords
- information retrieval
- text mining
- sentiment analysis
- opinion mining