Sentimental Analysis of Twitter Users’ Text Using Machine Learning

Author:

Debnath DebashriORCID,Debbarma NikhilORCID

Publisher

Springer Nature Singapore

Reference13 articles.

1. Chhinder, K., Anand, S.: Social issues sentiment analysis using python. In: 2020 5th International Conference on Computing, Communication and Security (ICCCS). pp. 1–6. IEEE (2020)

2. Iwan, S., Nadia, N., Tessy, B.: Study on mental disorder detection via social media mining. In: 2019 4th International Conference on Computing, Communications and Security (ICCCS). pp. 1–6. IEEE (2019)

3. Kausar, M.A., Soosaimanickam, A., Nasar, M.: Public sentiment analysis on twitter data during covid-19 outbreak. Int. J. Adv. Comput. Sci. Appl 12(2), 415–422 (2021)

4. Mehak, F., Munwar, I., Hifsa, T.: Mental health diseases analysis on twitter using machine learning. iKSP Journal of Computer Science and Engineering 1(2), 16–25 (2021)

5. Munmun, D.C., Michael, G., Scott, C., Horvitz, E.: Predicting depression via social media. In: Seventh international AAAI conference on weblogs and social media (2013)

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