Publication detail

Using WordNet for Opinion Mining

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

SMRŽ, P.

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"
}