Difference between revisions of "SentiWordNet: A Publicly Available Lexical Resource for Opinion Mining"
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This [[category::paper]] discusses the development of SentiWordNet, a lexical resource in which each [http://en.wikipedia.org/wiki/WordNet WordNet] [http://en.wikipedia.org/wiki/Synonym_ring 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 [[AddressesProblem:: Opinion mining]] by providing an off the shelf lexical resource. | This [[category::paper]] discusses the development of SentiWordNet, a lexical resource in which each [http://en.wikipedia.org/wiki/WordNet WordNet] [http://en.wikipedia.org/wiki/Synonym_ring 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 [[AddressesProblem:: Opinion mining]] by providing an off the shelf lexical resource. | ||
| − | == | + | == Background == |
| + | In [[AddressesProblem:: Opinion mining]] there are several subtasks which can be categorized as follows: | ||
| + | Determining text SO-polarity by checking whether the text has factual nature or expresses opinion. | ||
| + | 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). | ||
| + | |||
| + | The above tasks are aided | ||
Revision as of 16:44, 26 September 2012
Contents
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
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 several subtasks which can be categorized as follows: Determining text SO-polarity by checking whether the text has factual nature or expresses opinion. Determining text PN-polarity by checking whether text expresses a positive or negative opinion on subject matter.Turney,_ACL_2002 Determining the strength of text PN-polarity by checking the expressed opinion's emphasis (Weak, Mild, Strong).
The above tasks are aided
