International Journal of Social Science & Economic Research
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Title:
A COMPARATIVE STUDY OF AN AI TO INVESTIGATE THE ROLE OF SENTIMENT ANALYSIS IN STOCK MARKET

Authors:
Prof. Roopa K. V ., Prof. Sunitha B. K ., Rojej Shrestha , Saurab Barma , Prem Rathi , Raunak Sarawagi and Rajesh Kumar Gupta

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Prof. Roopa K. V1 ., Prof. Sunitha B. K2 ., Rojej Shrestha3 , Saurab Barma4 , Prem Rathi5 , Raunak Sarawagi6 and Rajesh Kumar Gupta7
1. Assistant Professor, Center for Management Studies Jain (Deemed to be University), Bangalore, India.
2. HOD, Center for Management Studies Jain (Deemed to be university), Bangalore, India.
3,4,5,6,7. Student, Center for Management Studies Jain (Deemed to be University), Bangalore, India.

MLA 8
Shrestha, Rojej, et al. "A COMPARATIVE STUDY OF AN AI TO INVESTIGATE THE ROLE OF SENTIMENT ANALYSIS IN STOCK MARKET." Int. j. of Social Science and Economic Research, vol. 8, no. 4, Apr. 2023, pp. 594-605, doi.org/10.46609/IJSSER.2023.v08i04.003. Accessed Apr. 2023.
APA 6
Shrestha, R., Barma, S., Rathi, P., Sarawagi, R., & Gupta, R. (2023, April). A COMPARATIVE STUDY OF AN AI TO INVESTIGATE THE ROLE OF SENTIMENT ANALYSIS IN STOCK MARKET. Int. j. of Social Science and Economic Research, 8(4), 594-605. Retrieved from https://doi.org/10.46609/IJSSER.2023.v08i04.003
Chicago
Shrestha, Rojej, Saurab Barma, Prem Rathi, Raunak Sarawagi, and Rajesh Kumar Gupta. "A COMPARATIVE STUDY OF AN AI TO INVESTIGATE THE ROLE OF SENTIMENT ANALYSIS IN STOCK MARKET." Int. j. of Social Science and Economic Research 8, no. 4 (April 2023), 594-605. Accessed April, 2023. https://doi.org/10.46609/IJSSER.2023.v08i04.003.

References

[1]. Chen, H., & Zhang, Y. (2020). Sentiment analysis in finance: A review and future research directions. International Journal of Information Management, 50, 96-110. doi: 10.1016/j.ijinfomgt.2019.04.008
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[7]. Gao, J., Zhang, H., & Yang, B. (2016). An improved PSO-based stock trading system for short term investment. Applied Soft Computing, 40, 234-246. doi: 10.1016/j.asoc.2015.11.043
[8]. Su, Y., Klinger, T., & Nejati, H. (2016). A comparative study of machine learning algorithms for stock market forecasting. Journal of Computational and Applied Mathematics, 296, 432-445. doi: 10.1016/j.cam.2015.10.005
[9]. Singh, R., Srivastava, A., & Bhatnagar, V. (2019). Sentiment analysis of financial news articles for stock price prediction. Journal of Intelligent Systems, 28(1), 87-98. doi: 10.1515/jisys-2017-027
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ABSTRACT:
Sentiment analysis has arisen as a new way to forecasting stock market trends by studying public opinion and media sentiment about individual stocks or firms. The application of artificial intelligence (AI) in sentiment research has allowed for more accurate and effective predictions of stock market trends. Yet, the efficiency of AI-based sentiment analysis in predicting stock market patterns is still being researched and debated.

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