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...
Saved in:
主要作者: | |
---|---|
其他作者: | |
格式: | Final Year Project |
語言: | English |
出版: |
Nanyang Technological University
2020
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/138643 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |