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September 10, 2025International Journal of Engineering Technologies and Management ResearchOpen Access

E-Sentiments and Stock Market Prediction: A Bibliometric Analysis

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Authors

AAnikaPAPardeep K. Ahlawat

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Overview

Bibliometric analysis uncovers trends and methodologies in sentiment analysis for stock market prediction.

Key Points

  • E-sentiments significantly enhance stock market prediction models by incorporating emotional factors, showing notable growth since 2020.
  • The analysis identifies a peak in publications related to e-sentiments and stock market prediction in 2024, particularly from China and the US.
  • Utilizing machine learning techniques, such as Long Short-Term Memory networks, improves prediction accuracy in sentiment-based forecasting.
  • Despite advancements, challenges remain regarding data quality and noise that can affect sentiment signals in predictions.

Cite This Study

Anika et al. (2025) studied this question.

synapsesocial.com/papers/68c23abeb210217d64781ceahttps://doi.org/10.29121/ijetmr.v12.i8.2025.1661
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