TIMES SERIES TECHNIQUES TO PREDICT STOCK PRICES IN INDIA: WITH REFERENCE TO LSTM
DOI:
https://doi.org/10.5281/zenodo.17151965Keywords:
Stock Market Prediction(SMP), Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Sentiment Analysis, Financial ForecastingAbstract
A dominant area of study in natural language processing analysing and machine learning is stock market prediction (SMP), where sentiment analysis techniques are utilized for predicting trends using models such as long short-term memory (LSTM). In this work, a modified LSTM model exceeds conventional to address the issue, recurrent neural networks (RNNs) of the vanishing gradient. One third was utilized to evaluate and seventy percent was applied for training using historical information on stock prices.
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