mlsanityData to 7 Oct 2026

SemEval-2017 Task 4: Sentiment Analysis in Twitter

arXiv 1912.00741 ↗First posted 2 Dec 2019cs.CL cs.IR cs.LGcited by 209

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Abstract (arXiv)

This paper describes the fifth year of the Sentiment Analysis in Twitter task. SemEval-2017 Task 4 continues with a rerun of the subtasks of SemEval-2016 Task 4, which include identifying the overall sentiment of the tweet, sentiment towards a topic with classification on a two-point and on a five-point ordinal scale, and quantification of the distribution of sentiment towards a topic across a number of tweets: again on a two-point and on a five-point ordinal scale. Compared to 2016, we made two changes: (i) we introduced a new language, Arabic, for all subtasks, and (ii)~we made available information from the profiles of the Twitter users who posted the target tweets. The task continues to be very popular, with a total of 48 teams participating this year.

Key facts. Cited by 209 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Dec 2019.

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Citing papers per year: 2021: 36; 2022: 42; 2023: 56; 2024: 36; 2025: 28; 2026: 11.

209 papers.

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  1. 2023Sentiment Analysis in the Era of Large Language Models: A Reality Checkcited by 262
  2. 2023Simple synthetic data reduces sycophancy in large language modelscited by 174
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  5. 2022TimeLMs: Diachronic Language Models from Twittercited by 129
  6. 2021Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collectionscited by 128
  7. 2021The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Modelscited by 118
  8. 2021XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyondcited by 114
  9. 2022Fusing finetuned models for better pretrainingcited by 110
  10. 2023Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Taskscited by 88
  11. 2021A Survey on Stance Detection for Mis- and Disinformation Identificationcited by 75
  12. 2023Symbol tuning improves in-context learning in language modelscited by 72
38 more
  1. 2022TweetNLP: Cutting-Edge Natural Language Processing for Social Mediacited by 71
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  3. 2022NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysiscited by 64
  4. 2023Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmarkcited by 62
  5. 2023Knowledge is a Region in Weight Space for Fine-tuned Language Modelscited by 58
  6. 2022ColD Fusion: Collaborative Descent for Distributed Multitask Finetuningcited by 52
  7. 2023Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Taskscited by 51
  8. 2022TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twittercited by 44
  9. 2023SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learningcited by 38
  10. 2022CommunityLM: Probing Partisan Worldviews from Language Modelscited by 36
  11. 2023The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Taskscited by 35
  12. 2022Hate Speech and Counter Speech Detection: Conversational Context Does Mattercited by 32
  13. 2021Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysiscited by 30
  14. 2022A Rationale-Centric Framework for Human-in-the-loop Machine Learningcited by 27
  15. 2024A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practicecited by 26
  16. 2021IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initializationcited by 25
  17. 2023Fine-grained Affective Processing Capabilities Emerging from Large Language Modelscited by 24
  18. 2022NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentationcited by 23
  19. 2022Where to start? Analyzing the potential value of intermediate modelscited by 23
  20. 2023Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Trainingcited by 23
  21. 2021RoBERTuito: a pre-trained language model for social media text in Spanishcited by 22
  22. 2023Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysiscited by 20
  23. 2023An Efficient Multilingual Language Model Compression through Vocabulary Trimmingcited by 19
  24. 2021EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Predictioncited by 17
  25. 2021Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemescited by 17
  26. 2023UniSA: Unified Generative Framework for Sentiment Analysiscited by 17
  27. 2023Privately Aligning Language Models with Reinforcement Learningcited by 17
  28. 2023From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICLcited by 17
  29. 2021Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Saliencecited by 16
  30. 2023LAraBench: Benchmarking Arabic AI with Large Language Modelscited by 16
  31. 2021Disentangling Representations of Text by Masking Transformerscited by 15
  32. 2022Recent Advances in Neural Text Generation: A Task-Agnostic Surveycited by 14
  33. 2023A Review of the Role of Causality in Developing Trustworthy AI Systemscited by 14
  34. 2023NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classificationcited by 14
  35. 2022Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessmentcited by 13
  36. 2024Dynamic Multi-Reward Weighting for Multi-Style Controllable Generationcited by 13
  37. 2024From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMscited by 13
  38. 2022Automatic Identification and Classification of Bragging in Social Mediacited by 12

50 most cited of 209 All 209 (JSON)