An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis

Author:

Swathi T.,Kasiviswanath N.,Rao A. Ananda

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference38 articles.

1. Pagolu VS, Reddy KN, Panda G, Majhi B (2016) Sentiment analysis of Twitter data for predicting stock market movements. In 2016 international conference on signal processing, communication, power and embedded system (SCOPES), pp 1345-1350. IEEE

2. Paulraj D (2020) A gradient boosted decision tree-based sentiment classification of twitter data. International Journal of Wavelets, Multiresolution and Information Processing, World Scientific, ISSN 1793-690X (online), 18:(4):205027 1–21

3. Pak A, Paroubek P (2010) Twitter as a corpus for sentiment analysis and opinion mining. In: Proceedings of the Seventh International Conference on Language Resources and Evaluation, pp 13201326

4. Neelakandan S (2020) An automated learning model of conventional neural network based sentiment analysis on Twitter data. Journal of Computational and Theoretical Nano Science 17(5):2230–2236

5. Teti E, Dallocchio M, Aniasi A (2019) The relationship between twitter and stock prices. Evidence from the US technology industry. Technological Forecasting and Social Change 149:119747

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