Novel Unsupervised Features for Czech Multi-label Document Classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43924209" target="_blank" >RIV/49777513:23520/14:43924209 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-13647-9_8" target="_blank" >http://dx.doi.org/10.1007/978-3-319-13647-9_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-13647-9_8" target="_blank" >10.1007/978-3-319-13647-9_8</a>

Result language
angličtina
Original language name
Novel Unsupervised Features for Czech Multi-label Document Classification
Original language description
This paper deals with automatic multi-label document classification in the context of a real application for the Czech News Agency. The main goal of this work consists in proposing novel fully unsupervised features based on an unsupervised stemmer, Latent Dirichlet Allocation and semantic spaces (HAL and COALS). The proposed features are integrated into the document classification task. Another interesting contribution is that these two semantic spaces have never been used in the context of document classification before. The proposed approaches are evaluated on a Czech newspaper corpus. We experimentally show that almost all proposed features significantly improve the document classification score. The corpus is freely available for research purposes.
Czech name
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Czech description
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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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