Development of Context-Based Sentiment Classification for Intelligent Stock Market Prediction

Development of Context-Based Sentiment Classification for Intelligent Stock Market Prediction

This paper presents a novel approach to sentiment analysis specifically customized for predicting stock market movements, bypassing the need for external dictionaries that are often unavailable for many languages. Our methodology directly analyzes textual data, with a particular focus on context-spe...

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Bibliographic Details
Main Authors: Nurmaganbet Smatov, Ruslan Kalashnikov, Amandyk Kartbayev
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Big Data and Cognitive Computing
Subjects:
sentiment analysis
neural networks
stock price prediction
text mining
deep learning
Online Access:https://www.mdpi.com/2504-2289/8/6/51

Internet

https://www.mdpi.com/2504-2289/8/6/51

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