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Sentiment Prediction Based on Lexical Analysis Using Deep Learning

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Emerging Technologies in Data Mining and Information Security

Abstract

This era of computing made everything computerized. So people started to interact in the virtual life more than real life. From shopping to talking, everything is controlled by computer. Because of that it has become more and more important to analyze and extract sentiment. Sentiment can be extracted from different type of data format like audio, text, image. In this paper, we proposed some methods to analyze text data in the paragraph level. Those methods can be implemented using bag of words, and priority was given to the lexical-based analysis.

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Acknowledgements

We would like to thank DIU-NLP and Machine Learning Research LAB for all their support and help. Any error in this research paper is our own and should not tarnish the reputations of these esteemed persons.

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Correspondence to S. M. Mazharul Hoque Chowdhury .

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Chowdhury, S.M.M.H., Abujar, S., Saifuzzaman, M., Ghosh, P., Hossain, S.A. (2019). Sentiment Prediction Based on Lexical Analysis Using Deep Learning. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 814. Springer, Singapore. https://doi.org/10.1007/978-981-13-1501-5_38

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