Decoding Financial Markets: Unleashing the Power of Bi-LSTM in Sentiment Analysis for Cutting-Edge Stock Price Prediction-Reference-Cited by-同舟云学术

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Decoding Financial Markets: Unleashing the Power of Bi-LSTM in Sentiment Analysis for Cutting-Edge Stock Price Prediction

Published:2023-10-20 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
language:
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Author:

Aluvala Srinivas¹,Balamurugan V.²,Jeyasudha J.³,Kumar R. Dinesh⁴,S Pradeep Kumar⁵

Affiliation:

1. SR University,School of Computer Science & Artificial Intelligence,Warangal,India

2. Sathyabama Institute of Science and Technology,Department of ECE,Chennai,India

3. SRM Insitute of Science and Technology,Department of Computational Intelligence,Chennai,India

4. Saveetha School of Engineering,Department of ECE,Thandalam,India

5. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10392444.pdf?arnumber=10392444

Reference17 articles.

1. Stock Price Prediction Using Optimal Network Based Twitter Sentiment Analysis

2. STIP-GCN: Space-time interest points graph convolutional network for action recognition

3. Sentence-Level Aspect-Based Sentiment Analysis for Classifying Adverse Drug Reactions (ADRs) Using Hybrid Ontology-XLNet Transfer Learning

4. DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform

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