Abstract
In this paper, we have briefly reviewed the previous paper in this domain. The paper presents some of the state-of-the-art text classification techniques. We have discussed some of the best deep learning classification techniques and word representations. After reviewing several papers, we found that some of the authors had improved their performance by doing better preprocessing while some of them have made changes in the algorithms for better accuracy. We have compared models on different data sets based on their accuracy score. We have also discussed some metrics for evaluating the text classification models.
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Bhawsar, S., Dubey, S., Kushwaha, S., Sharma, S. (2023). Text Classification Using Deep Learning: A Survey. In: Tiwari, R., Pavone, M.F., Ravindranathan Nair, R. (eds) Proceedings of International Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-2126-1_16
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DOI: https://doi.org/10.1007/978-981-19-2126-1_16
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