HIERARCHICAL MULTILABEL CLASSIFICATION USING DISTRIBUTED SEMANTIC MODEL BASED FEATURES FOR INDONESIAN NEWS ARTICLE
<p align="justify">Automatic news categorization is essential to handle multi-variant news articles. This research employs hierarchical multilabel classification to conduct news categorization. Based on our previous research, performance of hierarchical multilabel classification mode...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/28175 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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