Abstract
The main goal of the paper is to present that word's sentiment can be discovered from propagation through well-defined word networks such as Word-Net. Therefore a new method for propagation of sentiment from a given word seed - Micro-WNOp corpus over the word network (WordNet 3.0) has been proposed and evaluated. The experimental studies proved that WordNet has a great potential in sentiment propagation, even if types of links (e.g. hyponymy, heteronymy etc.) and semantic meaning of words are not taken into consideration. © 2014 Springer International Publishing Switzerland.
Author supplied keywords
Cite
CITATION STYLE
Misiaszek, A., Kazienko, P., Kulisiewicz, M., Augustyniak, Ł., Tuligłowicz, W., Popiel, A., & Kajdanowicz, T. (2014). Belief propagation method for word sentiment in wordnet 3.0. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8398 LNAI, pp. 263–272). Springer Verlag. https://doi.org/10.1007/978-3-319-05458-2_28
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
