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Publication detail
SMRŽ, P.
Original Title
Using WordNet for Opinion Mining
Type
conference paper
Language
English
Original 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.
Keywords
wordnet, opinion mining
Authors
RIV year
2006
Released
17. 2. 2006
Publisher
Masaryk University
Location
Brno
ISBN
80-210-3915-9
Book
Proceedings of the Third International WordNet Conference, GWC 2006
Pages from
333
Pages to
335
Pages count
4
BibTex
@inproceedings{BUT22412, author="Pavel {Smrž}", title="Using WordNet for Opinion Mining", booktitle="Proceedings of the Third International WordNet Conference, GWC 2006", year="2006", pages="333--335", publisher="Masaryk University", address="Brno", isbn="80-210-3915-9" }