The Future of Education

Edition 12

Accepted Abstracts

Advantages and limits of text mining software for analysis of students' satisfaction

Zdena Lustigova, ass. prof. Charles university in Prague (Czech Republic)

Abstract

Presented article deals with the possibilities of statistical software packages, which include data mining and text mining tools, for the analysis of unstructured text available at different Open Educational Resources.

The information about satisfaction is often available in the form of multilingual information, hidden in users reviews, chat rooms, tea rooms and other unspecified and unstructured ways of feedback. Authors do not present the whole large scale of users' reflection, they focus just on part of it, to present the basic problems researchers might meet while working with commercial software packages,  Statistica e.g.. The unstructured text they processed, users remarks and reviews, was created and published in 32 languages. The Statistica software has not been proven very beneficial, especially in the area of multilingual information processing. Despite all effort, more then  half of languages used by users failed to process. The second major problem presented incomplete and of poor quality stoplists, even for common and frequently used languages, such as  English or German.

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