Abstract
In today’s world, the quantity of the users of social networking sites are increasing day by day so as the users of the Twitter application as tweets to for advertising and inspiring the consumers about their respective products, services, reviews about any particular topic or in several different aspects. Taking this increased need of using the social networking into consideration, we have got decided to make a Sentiment Analysis system on Twitter’s data. In this paper, we have proposed two different models in order to determine which approach is most suited and better. The two models are LSTM and RNN, both the models are good in their own way, but our aim is to classify which one is best suited and straightforward to be used by a user. We have given a well explained description of both the models together with their structure, feasibility, performance, and analysis result. At the end, we came to grasp that both the models have gotten very satisfying results getting a way better results than regular ones.
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Pradhan, R., Agarwal, G., Singh, D. (2022). Comparative Analysis for Sentiment in Tweets Using LSTM and RNN. In: Khanna, A., Gupta, D., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1387. Springer, Singapore. https://doi.org/10.1007/978-981-16-2594-7_58
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DOI: https://doi.org/10.1007/978-981-16-2594-7_58
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