# EmoTxt: A Toolkit for Emotion Recognition from Text

arXiv: https://arxiv.org/abs/1708.03892 · HTML: https://mlsanity.com/paper/1708.03892/

## Key facts

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

## Built on by (most cited first, 9 of 9)

- [BERT-Based Sentiment Analysis: A Software Engineering Perspective](https://mlsanity.com/paper/2106.02581/) (2021)
- [ArmanEmo: A Persian Dataset for Text-based Emotion Detection](https://mlsanity.com/paper/2207.11808/) (2022)
- [Automated Identification of Toxic Code Reviews Using ToxiCR](https://mlsanity.com/paper/2202.13056/) (2022)
- [An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets](https://mlsanity.com/paper/2111.03196/) (2021)
- [Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition](https://mlsanity.com/paper/2109.07149/) (2021)
- [Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality](https://mlsanity.com/paper/2210.03428/) (2022)
- [WavFusion: Towards wav2vec 2.0 Multimodal Speech Emotion Recognition](https://mlsanity.com/paper/2412.05558/) (2024)
- [Sentiment Analysis in Software Engineering: Evaluating Generative Pre-trained Transformers](https://mlsanity.com/paper/2505.14692/) (2025)
- [LLMs for Qualitative Data Analysis Fail on Security-specificComments in Human Experiments](https://mlsanity.com/paper/2604.10834/) (2026)

## 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.