Telugu News Data Classification Using Machine Learning Approach

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Author(s): Bala Krishna Priya G. (Sri Padmavathi Viswa Vidyalayam, India), Jabeen Sultana (Majmaah University, Saudi Arabia)and Usha Rani M. (Sri Padmavathi Viswa Vidyalayam, India)
Copyright: 2022
Pages: 14
Source title: Handbook of Research on Advances in Data Analytics and Complex Communication Networks
Source Author(s)/Editor(s): P. Venkata Krishna (Sri Padmavati Mahila University, India)
DOI: 10.4018/978-1-7998-7685-4.ch014

Keywords: Data Analysis and Statistics / Information Science Reference / Media & Communications / Wireless Systems

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Abstract

Mining Telugu news data and categorizing based on public sentiments is quite important since a lot of fake news emerged with rise of social media. Identifying whether news text is positive, negative, or neutral and later classifying the data in which areas they fall like business, editorial, entertainment, nation, and sports is included throughout this research work. This research work proposes an efficient model by adopting machine learning classifiers to perform classification on Telugu news data. The results obtained by various machine-learning models are compared, and an efficient model is found, and it is observed that the proposed model outperformed with reference to accuracy, precision, recall, and F1-score.

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