Detail výsledku
Using WordNet for Opinion Mining
This paper deals with lexicalresources applied for opinion mining - the identification and extraction ofopinions from free texts. Opinion mining comprises the segmentation ofdocuments, passages, sentences, or phrases to objective (factual) andsubjective parts, and the evaluation of the subjective attitude toward a given fact.We briefly introduce an automatic system that was designed to crawl variousinformation sources available on the Web - newspapers, Internet blogs andforums - to collect and identify different opinions on a given topic and toreport diversity of opinions across languages and countries. A specialattention is paid to linguistic resources used, especially to wordnetextensions that play a crucial role in the identification of subjectiveexpressions.
wordnet, opinion mining
@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"
}