A Comparative Study on Clickbait Detection using Machine Learning Based Methods-Reference-Cited by-同舟云学术

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A Comparative Study on Clickbait Detection using Machine Learning Based Methods

Published:2023-05-11 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Disruptive Technologies (ICDT)
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Author:

Yadav Kapil Kumar¹,Bansal Nipun¹

Affiliation:

1. Delhi Technological University,Department of Computer Science,New Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10150433/10150449/10150475.pdf?arnumber=10150475

Reference32 articles.

1. Semi-supervised recursive autoencoders for predicting sentiment distributions;socher;Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing,2011

2. Natural language processing (almost) from scratch;collobert;Journal of Machine Learning Research,2011

3. Natural language processing (almost) from scratch;collobert;Journal of Machine Learning Research,2011

4. Efficient estimation of word representations in vector space;mikolov,2013

5. Diving Deep into Clickbaits

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