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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Bibliographic Details
Main Author: Chen, Zhiwei
Other Authors: Sun Aixin
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/138643
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Institution: Nanyang Technological University
Language: English