Analysis of Student's Course Comments Using Text Mining and R

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F16%3A86097677" target="_blank" >RIV/61989100:27510/16:86097677 - 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
Analysis of Student's Course Comments Using Text Mining and R
Original language description
Analyzing feedback of customers is important in all areas of business and also in non-business organizations. In this study comments of students at webpage Primat.cz evaluating university subject Operations Research taught at VŠB-TU Ostrava are analyzed. Basic text mining methods are used to extract meaningful patterns from unstructured data. At first comments are scraped from web using Import.io, than this data are pre-processed (e.g. punctuation, numbers, stop words are removed), document-term matrix is created and finally frequent terms are visualized using word cloud, term correlations are found or clusters of words are created. The results of the study show that text mining can be used for exploring student's positive/negative experiences or needs.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Information Technology for Practice 2016 : Selected Papers of the 19th International Conference : October 13-14, 2016, Ostrava, Czech Republic
ISBN
978-80-248-3970-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
219-224
Publisher name
VŠB - Technical University of Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Oct 13, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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