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Research Article

Sentimental Analysis from Text Feedback Using CV & TF-IDF

Tharun1 Madhanraj2 VishnuKumar3 Pandiyan4
123 computer science and engineering, bannari amman institute of technology, TN, India. 4Artificial Intelligence, bannari amman institute of technology, TN, India.

Published Online: September-October 2022

Pages: 163-166

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References

[1] Salieva, D. A. (2020). Psychological peculiarities of the influence of motivation on the learning independence of the student at young
school. Economic Growth and Environmental Issues, 8(3), 86-92.
[2] S. Vanaja, M. Bilal, “Aspect-level analysis on ecommerce data,” In Proc. of ICIRCA, 2018.
[3] P. Porntrakoon, C. Moemeng, ""Thai Sentiment Analysis for Consumer Reviews in More
dimensions using a sentiment compensation technique.” In Proc. ICEECTIT, 2018
[4] Xin Li, Mian Wei, “Apply vectors for the word for application feedback in emotions prediction,” In Proc. of ICSI, IEEE, 2016.
[5] P. Nagamma, Pruthvi H.R, Nisha K.K, Carlos Soares, “An Improved Sentiment Analysis of Online Movie Reviews”, International
conference on Computer and Information Technology, IEEE 2015.
[6] W. Medhat, A. Hassan, “analysis of suitable emotions algorithms and applications: A Survey,” Shams Engineering, vol. 5, pp. 1093–
1113, 2014.
[7] Jiang, S., & Chen, Y. (2017, September). Hand GestureRecognition by Using 3DCNN and LSTM with Adam Optimizer. InPacific Rim
Conference on Multimedia (pp. 743-753). Springer, Cham.
[8] G.E. R. D. Meyer, “Analysis for unreplicated fractionalfactorials,” Technometrics, vol. 28, pp. 11–18, 1986.

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