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Detail publikace
SMRŽ, P.
Originální název
Using WordNet for Opinion Mining
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
wordnet, opinion mining
Autoři
Rok RIV
2006
Vydáno
17. 2. 2006
Nakladatel
Masaryk University
Místo
Brno
ISBN
80-210-3915-9
Kniha
Proceedings of the Third International WordNet Conference, GWC 2006
Strany od
333
Strany do
335
Strany počet
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" }