Sentiment analysis on educational datasets: a comparative evaluation of commercial tools
Sentiment analysis systems have been gaining increasing popularity for extracting information regarding students' affective state. Developing such systems from scratch is a challenging task, thus, many studies employ commercial, general-purpose tools that are not domain-specific. The aim of the...
Κύριοι συγγραφείς: | , , , , , , , , |
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Μορφή: | Online |
Γλώσσα: | English |
Έκδοση: |
Urray
2019
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Θέματα: |
Comparatism, dietitian school, epistemic games, social practice of reference, didactic transposition
Emotional and behavioural difficulties, social and emotional learning, teacher-student relationships
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Διαθέσιμο Online: | https://pasithee.library.upatras.gr/ejupUNESCOchair/article/view/2987 |
Περίληψη: | Sentiment analysis systems have been gaining increasing popularity for extracting information regarding students' affective state. Developing such systems from scratch is a challenging task, thus, many studies employ commercial, general-purpose tools that are not domain-specific. The aim of the present work is to comparatively evaluate the performance of five well-known commercial/academic sentiment analysis tools on two educational datasets and contrast it with the performance of educational domain-specific tools, at document and sentence level. Findings suggest that: a) different tools work better for specific datasets and analysis levels, b) depending on the dataset, a general-purpose tool might be a viable solution, and c) any method, domain-specific or general-purpose one, should be evaluated before employed. |
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