Supervised sentiment analysis in Czech social media

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43923003" target="_blank" >RIV/49777513:23520/14:43923003 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ipm.2014.05.001" target="_blank" >http://dx.doi.org/10.1016/j.ipm.2014.05.001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ipm.2014.05.001" target="_blank" >10.1016/j.ipm.2014.05.001</a>

Result language
angličtina
Original language name
Supervised sentiment analysis in Czech social media
Original language description
This article describes in-depth research on machine learning methods for sentiment analysis of Czech social media. We provide a large human-annotated Czech social media corpus. Furthermore, we evaluate state-of-the-art supervised machine learning methodsfor sentiment analysis. We explore different pre-processing techniques and employ various features and classifiers. We also experiment with five different feature selection algorithms and investigate the influence of named entity recognition and pre-processing on sentiment classification performance. Moreover, in addition to our newly created social media dataset, we also report results for other popular domains, such as movie and product reviews.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Project
<a href="/en/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - New Technologies for Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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