Sentence-level sentiment analysis in Czech

Authors:
Kateřina Veselovská
Affiliations:
Charles University in Prague, Prague, Czech Republic
Venue:
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Year:
2012

Citing 2
Cited 0

Learning Subjective Language

Computational Linguistics
Comparative experiments on sentiment classification for online product reviews

AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents initial research in the area of sentiment analysis in Czech. We will describe a method for annotating Czech evaluative structures and analyze existing results for both manual and automatic annotation of the plain text data which represents the basis for further subjectivity clues learning.