Vol. 22 No. 1 (2023): Mapana Journal of Sciences
Research Articles

A Study of Stock Market Prediction Through Sentiment Analysis

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  • Sandipan Biswas,
  • Shivnath Ghosh,
  • Sandip Roy,
  • Rajesh Bose,
  • Sanjay Soni
Sandipan Biswas
BRAINWARE UNIVERSITY
Shivnath Ghosh
BRAINWARE UNIVERSITY
Sandip Roy
BRAINWARE UNIVERSITY
Rajesh Bose
BRAINWARE UNIVERSITY
Sanjay Soni
J.E.C Jabalpur
DOI: https://doi.org/10.12723/mjs.64.6

Published 2023-02-18

Keywords

  • Bombay Stock Exchange (BSS),
  • Logistic Regression,
  • KNN-LR Hybrid Classifier,
  • Naïve Bayes Algorithm,
  • Particle Swarm Optimization (PSO),
  • Sentiment Analysis,
  • Stock Market,
  • Support Vector Machine,
  • Social Media,
  • Twitter
    • ...More
    Less

Copyright (c) 2023

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Abstract

In the modern world, the current state and course of economic development and growth are determined by the fortunes and vagaries of the stock markets. In this research study, the authors provide a model that can aid in making reliable and error-free predictions of stock market trends. The described approach uses sentiment analytics based on financial news and past stock market patterns. The proposed structure has been used to forecast stock market patterns that incorporates sentiment analysis taken from news and previous stock market patterns to provide more precise results. The model shown here has provided a two-step process- the Naive Bayes algorithm and forecasting future values of stocks using evaluation findings on text polarity and historical stock value movement information. A novel idea known as the KNN-LR Hybrid algorithm has been introduced to achieve better outcomes when evaluating the accuracy and efficacy of other machine learning algorithms.

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