Difference between revisions of "SentiWordNet: A Publicly Available Lexical Resource for Opinion Mining"

From Cohen Courses
Jump to navigationJump to search
Line 12: Line 12:
 
== Background ==
 
== Background ==
 
In [[AddressesProblem:: Opinion mining]] there are mainly three tasks related to tagging the given text with expressed opinion:
 
In [[AddressesProblem:: Opinion mining]] there are mainly three tasks related to tagging the given text with expressed opinion:
#Determining text SO-polarity by checking whether the text has factual nature or expresses opinion.[[category::Pang and Lee,2004]]
+
#Determining text SO-polarity by checking whether the text has factual nature or expresses opinion.[[category::Pang and Lee,2004]] [[category::Hatzivassiloglou,2003]]
  [[category::Hatzivassiloglou,2003]]
 
 
#Determining text PN-polarity by checking whether text expresses a positive or negative opinion on subject matter.[[category::Turney,_ACL_2002]]
 
#Determining text PN-polarity by checking whether text expresses a positive or negative opinion on subject matter.[[category::Turney,_ACL_2002]]
 
#Determining the strength of text PN-polarity by checking the expressed opinion's emphasis (Weak, Mild, Strong).[[category::Turney,_ACL_2002]]
 
#Determining the strength of text PN-polarity by checking the expressed opinion's emphasis (Weak, Mild, Strong).[[category::Turney,_ACL_2002]]
  
 
The above tasks are aided
 
The above tasks are aided

Revision as of 16:52, 26 September 2012

Citation

SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining. In Proceedings of the 5th Conference on Language Resources and Evaluation (LREC’06),417-422.

Online version

LREC 2006

Summary

This paper discusses the development of SentiWordNet, a lexical resource in which each WordNet synset s is associated to three numerical scores Obj(s), Pos(s), Neg(s) used to describe how objective, positive and negative the terms contained in the synset are. The main motivation for this task is to aid Opinion mining by providing an off the shelf lexical resource.

Background

In Opinion mining there are mainly three tasks related to tagging the given text with expressed opinion:

  1. Determining text SO-polarity by checking whether the text has factual nature or expresses opinion.Pang and Lee,2004 Hatzivassiloglou,2003
  2. Determining text PN-polarity by checking whether text expresses a positive or negative opinion on subject matter.Turney,_ACL_2002
  3. Determining the strength of text PN-polarity by checking the expressed opinion's emphasis (Weak, Mild, Strong).Turney,_ACL_2002

The above tasks are aided