TFIDF meets deep document representation : a re-visit of co-training for text classification
Many text classification tasks face the challenge of lack of sufficient la- belled data. Co-training algorithm is a candidate solution, which learns from both labeled and unlabelled data for better classification accuracy. However, two sufficient and redundant views of an instance are often not avai...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2020
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Online Access: | https://hdl.handle.net/10356/138643 |
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Institution: | Nanyang Technological University |
Language: | English |
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