Text Mining-based Formation of Dictionaries Expressing Opinions in Natural Languages

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F11%3A00215946" target="_blank" >RIV/62156489:43110/11:00215946 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Text Mining-based Formation of Dictionaries Expressing Opinions in Natural Languages
Original language description
Automatic formation of dictionaries containing words significant for expressing different customers' opinions written in natural languages is demonstrated. The research used very large real-world data concerning the hotel accommodation booking via the Internet. The hotel companies could be interested in characteristic words expressing positive and negative opinions because it could help improve the offered service. The suggested method uses unstructured plain text reviews of many customers from different countries. The data is transformed into vectors using the bag-of-words procedure with the word representation by their frequencies in the reviews. Significant words are selected as relevant attributes for the classification to given categories using trained decision trees. Each tree branch leading to a leaf represents a subset of significant words for a category. The individual word importance is weighted by the word frequency in all the branches combined with their occurrence in branc
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Mendel 2011: 17th International Conference on Soft Computing
ISBN
978-80-214-4302-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
374-381
Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
302647900059

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