Text Message Categorization of Collaborative Learning Skills in Online Discussion Using Neural Network
| Main Author: | -, Erlin |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
STMIK Amik Riau
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| Subjects: | |
| Online Access: |
http://jurnal.stmik-amik-riau.ac.id/index.php/satin/article/view/44 http://jurnal.stmik-amik-riau.ac.id/index.php/satin/article/view/44/pdf |
Daftar Isi:
- This paper presents my research in neural network approach for text messages categorization of collaborative learning skill in online discussion. Despite of neural network is popular method for text categorization in the research area of machine learning, unfortunately, the use of neural network in educational setting is rare. Usually, text categorization by neural network is employed to categorize news article, emails, product reviews and web pages. In online discussion, text categorization that used to classify the message send by student into certain category is often manual, requiring human skilled specialists. However, human categorization is not effective way for number of reasons; time-consuming, labour intensive, lack of consistency in category and costly. Therefore, this paper proposes neural network approach to automatically code the message. Results show that neural network achieving good classification on eight categories of collaborative learning skill in online discussion as measured based on precision, recall and balanced F-measure.