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October 10, 2025Open Access

A Systematic Review of Sentiment Analysis Systems Applied to Textual Data

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Authors

PQPhuong Dao QuocVNVuong M. Ngo

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Overview

This review highlights developments in sentiment analysis, indicating domain-specific approaches improve decision-making.

Key Points

  • The review identifies significant knowledge gaps in current sentiment analysis systems, indicating need for advancement.
  • Out of 4,709 papers analyzed, 34 were selected, including 30 research studies and 4 surveys highlighting trends.
  • PRISMA methodology was employed to systematically narrow the selection of papers for comprehensive evaluation.
  • The findings emphasize the importance of data quality and feature selection in enhancing sentiment analysis effectiveness.

Cite This Study

Quoc et al. (2025) studied this question.

synapsesocial.com/papers/68e861907ef2f04ca37e3ff6https://doi.org/10.20944/preprints202510.0194.v1
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  1. 1An Empirical Study on Artificial Intelligence for Sentiment Analysis Techniques2025 · 1 citations
  2. 2Understanding Sentiment: Interpreting Attitudes, Emotions, and Opinions in Text2024
  3. 3From Lexicons to Transformers: An AI View of Sentiment Analysis2025
  4. 4Sentiment Analysis on Government Public Policies: A Systematic Literature Review2025
  5. 5Review On Using Machine Learning and Deep Learning Algorithms for Emotion Analysis2024