Evaluating the usefulness of sentiment information for focused crawlers

Tianjun Fu, Ahmed Abbasi, Daniel Dajun Zeng, Hsinchun Chen

Research output: Contribution to conferencePaper

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 languageEnglish (US)
StatePublished - Jan 1 2010
Event20th Annual Workshop on Information Technologies and Systems, WITS 2010 - St. Louis, MO, United States
Duration: Dec 11 2010Dec 12 2010

Other

Other20th Annual Workshop on Information Technologies and Systems, WITS 2010
CountryUnited States
CitySt. Louis, MO
Period12/11/1012/12/10

Keywords

  • Focused crawler
  • Labelled web graph
  • Sentiment analysis

ASJC Scopus subject areas

  • Information Systems

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  • Cite this

    Fu, T., Abbasi, A., Zeng, D. D., & Chen, H. (2010). Evaluating the usefulness of sentiment information for focused crawlers. Paper presented at 20th Annual Workshop on Information Technologies and Systems, WITS 2010, St. Louis, MO, United States.