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  2. Volume 7, Issue 2
  3. Authors

Online ISSN: 2515-8260

Volume7, Issue2

Stock Prediction using Sentiment analysis and Long Short Term Memory

    Harsh Panday V. Vijayarajan Anand Mahendran A. Krishnamoorthy V.B. Surya Prasath

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 5060-5069

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Abstract

The Stock market is a shambolic place for prediction as there are plenty of factors that affect the stock market simultaneously. Numerous studies have been conducted regarding this field, in hopes that one day accurate stock values can be predicted. This paper introduces a hybrid algorithm that incorporates Twitter sentiment analysis and Long Short Term Memory to predict next day closing values of a stock. Our proposed algorithm exploits the temporal correlation between public sentiment and its effect on stock values. We use Part-of-speech tagging to perform sentiment analysis and Long Short Term Memory for foretelling the next day closing price of the stock, both of these combined gives us a decent picture regarding the future of the stock.
Keywords:
    Sentiment Analysis LSTM Machine learning Stock prediction Twitter TextBlob Public Sentiment Positive Sentiment Negative Sentiment
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(2020). Stock Prediction using Sentiment analysis and Long Short Term Memory. European Journal of Molecular & Clinical Medicine, 7(2), 5060-5069.
Harsh Panday; V. Vijayarajan; Anand Mahendran; A. Krishnamoorthy; V.B. Surya Prasath. "Stock Prediction using Sentiment analysis and Long Short Term Memory". European Journal of Molecular & Clinical Medicine, 7, 2, 2020, 5060-5069.
(2020). 'Stock Prediction using Sentiment analysis and Long Short Term Memory', European Journal of Molecular & Clinical Medicine, 7(2), pp. 5060-5069.
Stock Prediction using Sentiment analysis and Long Short Term Memory. European Journal of Molecular & Clinical Medicine, 2020; 7(2): 5060-5069.
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