Study Material Classification in Bengali

Authors

  • Piyal Roy, Rajat Pandit and Sudip Kumar Naskar

Keywords:

NLP, Text Classification, Machine Learning, Neural Network, Bert

Abstract

Study Material classification is an important task in Natural Language Processing (NLP). One of the mostimportant and crucial components of intelligent tutoring and educational systems is classification of thestudy materials for learners. It is the task of categorizing study materials or text documents for the students of various grade levels. A text that seems adequate for a student at the under graduate

References

[1]. Hancke, J., Vajjala, S., Meurers, D.: Readability classification for german using lexical, syntactic, and morphological features. In: Proceedings of COLING 2012, pp. 1063–1080 (2012)

[2]. Eickhoff, C., Serdyukov, P., De Vries, A.P.: A combined topical/non-topical approach to identifying web sites for children. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, pp. 505–514 (2011)

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Published

2023-12-20

How to Cite

Piyal Roy, Rajat Pandit and Sudip Kumar Naskar. (2023). Study Material Classification in Bengali . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 3185–3200. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5800

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Section

Articles