mlsanityData to 14 Oct 2026

A Review on Text-Based Emotion Detection -- Techniques, Applications, Datasets, and Future Directions

arXiv 2205.03235 ↗First posted 26 Apr 2022cs.CLcited by 6

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Abstract (arXiv)

Artificial Intelligence (AI) has been used for processing data to make decisions, interact with humans, and understand their feelings and emotions. With the advent of the internet, people share and express their thoughts on day-to-day activities and global and local events through text messaging applications. Hence, it is essential for machines to understand emotions in opinions, feedback, and textual dialogues to provide emotionally aware responses to users in today's online world. The field of text-based emotion detection (TBED) is advancing to provide automated solutions to various applications, such as businesses, and finances, to name a few. TBED has gained a lot of attention in recent times. The paper presents a systematic literature review of the existing literature published between 2005 to 2021 in TBED. This review has meticulously examined 63 research papers from IEEE, Science Direct, Scopus, and Web of Science databases to address four primary research questions. It also reviews the different applications of TBED across various research domains and highlights its use. An overview of various emotion models, techniques, feature extraction methods, datasets, and research challenges with future directions has also been represented.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 29 of its 170 references that are in the map. First posted on arXiv 26 Apr 2022.

Builds on

29 of 170 references.

References · 29

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17 more
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 2; 2025: 1; 2026: 1.

6 papers.

  1. 2024Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directionscited by 27
  2. 2023Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Datasetcited by 2
  3. 2023The Application of Affective Measures in Text-based Emotion Aware Recommender Systemscited by 1
  4. 2024Level of agreement between emotions generated by Artificial Intelligence and human evaluation: a methodological proposalcited by 1
  5. 2025Predicting Stock Price Movement with LLM-Enhanced Tweet Emotion Analysiscited by 1
  6. 2026Evaluating multimodal emotion recognition in proactive conversational agents: A user studycited by 0