Proceedings of the International e-Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2023)

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An Empirical Comparative Study of Machine Learning Algorithms for Telugu News Classification

Authors
S. V. S. Dhanush1, Tsaliki Satya Ganesh Kumar1, Dharavathu Rohith1, Penaka Vishnu Reddy1, K. P. Soman1, S. Sachin Kumar1, *
1Amrita School of Artificial Intelligence, Amrita Vishwa Vidhyapeetham, Coimbatore, India
*Corresponding author. Email: s_sachinkumar@cb.amrita.edu
Corresponding Author
S. Sachin Kumar
Available Online 21 December 2023.
DOI
10.2991/978-94-6463-314-6_12How to use a DOI?
Keywords
Random Kitchen Sink (RKS); Logistic regression; Multinomial Naive Bayes; Multilayer Perceptron; Natural Language Processing (NLP); Deep Learning; Classification
Abstract

Amidst escalating data growth, effective classification in diverse domains, including the news industry, is imperative. However, relying solely on human intervention for classification is unfeasible. Addressing the complexities of the Telugu language and leveraging Natural Language Processing (NLP), this study employs classification techniques. Custom Machine Learning and Deep Learning models are developed, utilizing various word embeddings, aiming to enhance accuracy and efficiency in categorizing newspaper articles. The research tackles challenges of unstructured text, attributes, NLP techniques, missing metadata, and algorithm selection. The proposed model offers both generality and efficiency, systematically classifying text documents and demonstrating significant improvements in accuracy through innovative techniques.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International e-Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
21 December 2023
ISBN
10.2991/978-94-6463-314-6_12
ISSN
2589-4900
DOI
10.2991/978-94-6463-314-6_12How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - S. V. S. Dhanush
AU  - Tsaliki Satya Ganesh Kumar
AU  - Dharavathu Rohith
AU  - Penaka Vishnu Reddy
AU  - K. P. Soman
AU  - S. Sachin Kumar
PY  - 2023
DA  - 2023/12/21
TI  - An Empirical Comparative Study of Machine Learning Algorithms for Telugu News Classification
BT  - Proceedings of the International e-Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2023)
PB  - Atlantis Press
SP  - 117
EP  - 127
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-314-6_12
DO  - 10.2991/978-94-6463-314-6_12
ID  - Dhanush2023
ER  -