mlsanityData to 7 Oct 2026

WASSA-2017 Shared Task on Emotion Intensity

arXiv 1708.03700 ↗First posted 11 Aug 2017cs.CLcited by 37

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Abstract (arXiv)

We present the first shared task on detecting the intensity of emotion felt by the speaker of a tweet. We create the first datasets of tweets annotated for anger, fear, joy, and sadness intensities using a technique called best--worst scaling (BWS). We show that the annotations lead to reliable fine-grained intensity scores (rankings of tweets by intensity). The data was partitioned into training, development, and test sets for the competition. Twenty-two teams participated in the shared task, with the best system obtaining a Pearson correlation of 0.747 with the gold intensity scores. We summarize the machine learning setups, resources, and tools used by the participating teams, with a focus on the techniques and resources that are particularly useful for the task. The emotion intensity dataset and the shared task are helping improve our understanding of how we convey more or less intense emotions through language.

Key facts. Cited by 37 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Aug 2017.

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Citing papers per year: 2021: 11; 2022: 7; 2023: 3; 2024: 7; 2025: 5; 2026: 4.

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  1. 2022Dataless Knowledge Fusion by Merging Weights of Language Modelscited by 384
  2. 2021Membership Inference Attacks on Machine Learning: A Surveycited by 306
  3. 2024Parameter Competition Balancing for Model Mergingcited by 71
  4. 2021Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classificationcited by 43
  5. 2023A Wide Evaluation of ChatGPT on Affective Computing Taskscited by 30
  6. 2021BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Textcited by 22
  7. 2024Knowledge Fusion By Evolving Weights of Language Modelscited by 16
  8. 2021Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Languagecited by 12
  9. 2024IterIS: Iterative Inference-Solving Alignment for LoRA Mergingcited by 11
  10. 2021Emotion Ratings: How Intensity, Annotation Confidence and Agreements are Entangledcited by 10
  11. 2021Fine-Grained Emotion Prediction by Modeling Emotion Definitionscited by 9
  12. 2025SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detectioncited by 9
25 more
  1. 2023Where are We in Event-centric Emotion Analysis? Bridging Emotion Role Labeling and Appraisal-based Approachescited by 7
  2. 2025Language Models Predict Empathy Gaps Between Social In-groups and Out-groupscited by 6
  3. 2025Emotions in the Loop: A Survey of Affective Computing for Emotional Supportcited by 5
  4. 2021Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Studycited by 4
  5. 2021Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systemscited by 4
  6. 2025Out-of-the-Box Conditional Text Embeddings from Large Language Modelscited by 4
  7. 2022Please, Don't Forget the Difference and the Confidence Interval when Seeking for the State-of-the-Art Statuscited by 3
  8. 2022"splink" is happy and "phrouth" is scary: Emotion Intensity Analysis for Nonsense Wordscited by 2
  9. 2022Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpuscited by 2
  10. 2022Modelling Emotion Dynamics in Song Lyrics with State Space Modelscited by 2
  11. 2021Silhouettes and quasi residual plots for neural nets and tree-based classifierscited by 1
  12. 2023Emotion-Oriented Behavior Model Using Deep Learningcited by 1
  13. 2024EFO: the Emotion Frame Ontologycited by 1
  14. 2024Predicting Emotion Intensity in Polish Political Texts: Comparing Supervised Models and Large Language Models in a Resource-Poor Languagecited by 1
  15. 2021Guilt by Association: Emotion Intensities in Lexical Representationscited by 0
  16. 2021Identifying negativity factors from social media text corpus using sentiment analysis methodcited by 0
  17. 2022Analyzing the Intensity of Complaints on Social Mediacited by 0
  18. 2022DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learningcited by 0
  19. 2024SensoryT5: Infusing Sensorimotor Norms into T5 for Enhanced Fine-grained Emotion Classificationcited by 0
  20. 2024Understanding Social Perception, Interactions, and Safety Aspects of Sidewalk Delivery Robots Using Sentiment Analysiscited by 0
  21. 2025Domain Lexical Knowledge-based Word Embedding Learning for Text Classification under Small Datacited by 0
  22. 2026NLP Privacy Risk Identification in Social Media (NLP-PRISM): A Surveycited by 0
  23. 2026Beyond Sentiment Classification: A Generative Framework for Emotion Intensity Evaluation in Textcited by 0
  24. 2026VIBE: A VAD-Informed Benchmark for Entity-Centered Affective Profiling of Large Language Model Outputscited by 0
  25. 2026Focusing Condition: Inference-Time Self-Contrastive Steering Elicits Better Conditional Text Embeddings in LLMscited by 0