Machine Learning Models of Text Categorization by Author Gender Using Topic-independent Features

Author:

Sboev Aleksandr,Litvinova Tatiana,Gudovskikh Dmitry,Rybka Roman,Moloshnikov Ivan

Publisher

Elsevier BV

Subject

General Engineering

Reference31 articles.

1. Argamon S., et al. (2009, 2). Automatically profiling the author of an anonymous text. Communications of the ACM 52 (2), pp. 119-123.

2. Burger J., et al. (2011). Discriminating gender on Twitter. Proceedings of the Conference on Empirical Methods in Natural Language Processing (pp. 1301-1309). Stroudsburg: Association for Computational Linguistics.

3. Author gender identification from text;Cheng;Digital Investigation: The International Journal of Digital Forensics & Incident Response,2011

4. Natural language processing (almost) from scratch;Collobert;The Journal of Machine Learning Research,2011

5. Company J.S., et al. (2014). How to use less features and reach better performance in author gender identification. Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC), (pp. 1315-1319). Reykjavik, Iceland.

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