mlsanityData to 14 Oct 2026

EmoTxt: A Toolkit for Emotion Recognition from Text

arXiv 1708.03892 ↗First posted 13 Aug 2017cs.HC cs.CLcited by 9

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Abstract (arXiv)

We present EmoTxt, a toolkit for emotion recognition from text, trained and tested on a gold standard of about 9K question, answers, and comments from online interactions. We provide empirical evidence of the performance of EmoTxt. To the best of our knowledge, EmoTxt is the first open-source toolkit supporting both emotion recognition from text and training of custom emotion classification models.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Aug 2017.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 3; 2022: 3; 2023: 0; 2024: 1; 2025: 1; 2026: 1.

9 papers.

  1. 2021BERT-Based Sentiment Analysis: A Software Engineering Perspectivecited by 9
  2. 2022ArmanEmo: A Persian Dataset for Text-based Emotion Detectioncited by 9
  3. 2022Automated Identification of Toxic Code Reviews Using ToxiCRcited by 8
  4. 2021An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasetscited by 3
  5. 2021Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognitioncited by 1
  6. 2022Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modalitycited by 0
  7. 2024WavFusion: Towards wav2vec 2.0 Multimodal Speech Emotion Recognitioncited by 0
  8. 2025Sentiment Analysis in Software Engineering: Evaluating Generative Pre-trained Transformerscited by 0
  9. 2026LLMs for Qualitative Data Analysis Fail on Security-specificComments in Human Experimentscited by 0