Building semantically annotated corpus for text classification of Indian defence news articles

Author:

Kanekar Saurabh A.,Sharma Alind,Patkar Gaurang S.,Tilve Amey K. Shet

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference22 articles.

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2. Pang B, Lee L, Vithyanathan S (2019) Thumbs up? Sentiment classification using machine learning techniques. Proc Inst Civ Eng Transp. https://doi.org/10.1680/jtran.18.00094

3. Abdul-Mageed M, Diab M (2012) Awatif: a multi-genre corpus for modern standard Arabic subjectivity and sentiment analysis. In: Proceedings of the 8th international conference on language resources and evaluation, LREC 2012

4. Wiebe J, Riloff E (2005) Creating subjective and objective sentence classifiers from unannotated texts. Lect Notes Comput Sci. https://doi.org/10.1007/978-3-540-30586-6_53

5. Barbosa L, Feng J (2010) Robust sentiment detection on twitter from biased and noisy data. Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference

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