Publication Details

Using WordNet for Opinion Mining

SMRŽ Pavel. Using WordNet for Opinion Mining. In: Proceedings of the Third International WordNet Conference, GWC 2006. Brno: Masaryk University, 2006, pp. 333-335. ISBN 80-210-3915-9.
Czech title
Using WordNet for Opinion Mining
Type
conference paper
Language
english
Authors
Keywords

wordnet, opinion mining

Abstract

This paper deals with lexical resources applied for opinion mining - the identification and extraction of opinions from free texts. Opinion mining comprises the segmentation of documents, passages, sentences, or phrases to objective (factual) and subjective parts, and the evaluation of the subjective attitude toward a given fact. We briefly introduce an automatic system that was designed to crawl various information sources available on the Web - newspapers, Internet blogs and forums - to collect and identify different opinions on a given topic and to report diversity of opinions across languages and countries. A special attention is paid to linguistic resources used, especially to wordnet extensions that play a crucial role in the identification of subjective expressions.

Published
2006
Pages
333-335
Proceedings
Proceedings of the Third International WordNet Conference, GWC 2006
Conference
3rd International Global WordNet Conference, Jeju Island, KR
ISBN
80-210-3915-9
Publisher
Masaryk University
Place
Brno, CZ
BibTeX
@INPROCEEDINGS{FITPUB8002,
   author = "Pavel Smr\v{z}",
   title = "Using WordNet for Opinion Mining",
   pages = "333--335",
   booktitle = "Proceedings of the Third International WordNet Conference, GWC 2006",
   year = 2006,
   location = "Brno, CZ",
   publisher = "Masaryk University",
   ISBN = "80-210-3915-9",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/8002"
}
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