Detail publikace

Using WordNet for Opinion Mining

SMRŽ, P.

Originální název

Using WordNet for Opinion Mining

Typ

článek ve sborníku mimo WoS a 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

SMRŽ, P.

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"
}