Opinion Extraction & Classification of Reviews from Web Documents

  title={Opinion Extraction & Classification of Reviews from Web Documents},
  author={Shishir K. Shandilya and Suresh Jain},
  journal={2009 IEEE International Advance Computing Conference},
Automatic extraction of opinions on products from Web has been receiving interest increasingly. Such extracted knowledge helps to find out what other people think about the particular product or service. With the growing availability of resources like online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden growth in the area of opinion mining, which… CONTINUE READING

From This Paper

Topics from this paper.


Publications citing this paper.
Showing 1-2 of 2 extracted citations


Publications referenced by this paper.
Showing 1-8 of 8 references

Querying Text

  • E. Agichtein, L. Gravano
  • Computational Proceedings of the 19th IEEE…
  • 2003

Snowball : Review of Information Systems and Technology , 31 , 121 - Extracting Relations from Large Plain - Text Collections , in 187

  • S. Eickeler, A. Kosmala, G. Rigoll
  • Proceedings of the 5 th ACM International…
  • 2000

Church and Patrick Hanks . Word association norms , mutual information , and lexicography

  • W. Kenneth
  • Proceedings of the 27 th Annual Meeting of the…
  • 1989

Berger , Stephen A . Della Pietra , and Vincent J . Della Pietra . A maximum entropy approach to natural language processing

  • L. Adam
  • Computational Linguistics

Similar Papers

Loading similar papers…