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

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

6

Strana od-do

219-224

Název nakladatele

VŠB - Technical University of Ostrava

Místo vydání

Ostrava

Místo konání akce

Ostrava

Datum konání akce

13. 10. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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