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April 5, 2026International Journal of Advanced Computer Science and ApplicationsOpen Access

Sentiment and Emotion Analysis in Textual Data: A Recent Systematic Literature Review Method, Model and Application

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Authors

WRWan Azzura Wan RamliRKRabiah Abdul KadirAAAmalia AMALIAUniversitas Sumatera Utara

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Implication

This systematic review synthesizes advances in sentiment and emotion analysis in textual data, highlighting key challenges and future directions.

Key Points

  • The central aim is to synthesize recent advancements in sentiment and emotion analysis of textual data.
  • Conducted a structured literature review following the PRISMA protocol.
  • Examined studies from the Web of Science and Scopus databases.
  • Selected 50 primary studies published between 2023 and 2025 for analysis.
  • Evaluated articles based on quality assessment.
  • Identified a transition from traditional machine learning techniques to transformer-based architectures.
  • Highlighted an increase in multimodal approaches and context-aware emotion modeling.
  • Recognized ongoing challenges in detecting implicit emotions and dataset imbalance.

Cite This Study

Ramli et al. (2026) studied this question.

synapsesocial.com/papers/69d1fd4ea79560c99a0a34f8https://doi.org/10.14569/ijacsa.2026.0170315
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Also Consider

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  1. 1Textual emotion detection – A systematic literature review2024 · 5 citations
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  5. 5Sentiment Analysis in Social Media and Its Application: Systematic Literature Review2019 · 414 citations