Forecasting Financial Frontiers: Real-time Insights in Stock Price Prediction through LSTM, Linear Regression, and Sentiment Analysis-Reference-Cited by-同舟云学术

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Forecasting Financial Frontiers: Real-time Insights in Stock Price Prediction through LSTM, Linear Regression, and Sentiment Analysis

Published:2024-05-23 Issue: Volume:55 Page:1-6
ISSN:
Container-title:2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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Author:

Khalifa Ahmed A.¹,G Ramesh²,R Deekshith²,K Harsha²,J Shreyas³

Affiliation:

1. University of Fujairah,College of Information Technology,Department of Networking and Security,Fujairah,UAE

2. Alva’s Institute of Engineering and Technology,Dept. of Artificial Intelligence and Machine Learning,Mangalore,India

3. Manipal Academy of Higher Education,Manipal Institute of Technology Bengaluru,Department of Information Technology,Manipal,Karnataka,India,576104

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550192/10550449/10550829.pdf?arnumber=10550829

Reference19 articles.

1. Novel Stock Crisis Prediction Technique—A Study on Indian Stock Market

2. Transformer-Gated Recurrent Unit Method for Predicting Stock Price Based on News Sentiments and Technical Indicators

3. Hybrid Information Mixing Module for Stock Movement Prediction

4. A Stock Price Prediction Method Based on BiLSTM and Improved Transformer

5. Reducing Manual Effort to Label Stock Market Data by Applying a Metaheuristic Search: A Case Study From the Saudi Stock Market

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