Abstract
Despite the prevalence of sentiment-related content on the Web, there has been limited work on focused crawlers capable of effectively collecting such content. In this study, we evaluated the efficacy of using sentiment-related information for enhanced focused crawling of opinion-rich web content regarding a particular topic. We also assessed the impact of using sentiment-labelled web graphs to further improve collection accuracy. Experimental results on a large testbed encompassing over half a million web pages revealed that focused crawlers utilizing sentiment information as well as sentiment-labelled web graphs are capable of gathering more holistic collections of opinion-related content regarding a particular topic. The results have important implications for business and marketing intelligence gathering efforts in the Web 2.0 era.
| Original language | English (US) |
|---|---|
| State | Published - 2010 |
| Event | 20th Annual Workshop on Information Technologies and Systems, WITS 2010 - St. Louis, MO, United States Duration: Dec 11 2010 → Dec 12 2010 |
Other
| Other | 20th Annual Workshop on Information Technologies and Systems, WITS 2010 |
|---|---|
| Country/Territory | United States |
| City | St. Louis, MO |
| Period | 12/11/10 → 12/12/10 |
Keywords
- Focused crawler
- Labelled web graph
- Sentiment analysis
ASJC Scopus subject areas
- Information Systems