mlsanityData to 14 Oct 2026

TweetNLP: Cutting-Edge Natural Language Processing for Social Media

arXiv 2206.14774 ↗First posted 29 Jun 2022cs.CLcited by 71

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Abstract (arXiv)

In this paper we present TweetNLP, an integrated platform for Natural Language Processing (NLP) in social media. TweetNLP supports a diverse set of NLP tasks, including generic focus areas such as sentiment analysis and named entity recognition, as well as social media-specific tasks such as emoji prediction and offensive language identification. Task-specific systems are powered by reasonably-sized Transformer-based language models specialized on social media text (in particular, Twitter) which can be run without the need for dedicated hardware or cloud services. The main contributions of TweetNLP are: (1) an integrated Python library for a modern toolkit supporting social media analysis using our various task-specific models adapted to the social domain; (2) an interactive online demo for codeless experimentation using our models; and (3) a tutorial covering a wide variety of typical social media applications.

Key facts. Cited by 71 papers in the map (data through 14 Oct 2026). Builds on 22 of its 56 references that are in the map. First posted on arXiv 29 Jun 2022.

Builds on

22 of 56 references.

References · 22

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  4. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  5. 2018Representation Learning with Contrastive Predictive Codingcited by 7,777
  6. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  7. 2021SimCSE: Simple Contrastive Learning of Sentence Embeddingscited by 2,173
  8. 2019Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelismcited by 1,868
  9. 2016Enriching Word Vectors with Subword Informationcited by 1,583
  10. 2017SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluationcited by 1,001
  11. 2016Bag of Tricks for Efficient Text Classificationcited by 876
  12. 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 723
10 more
  1. 2020TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classificationcited by 417
  2. 2020BERTweet: A pre-trained language model for English Tweetscited by 346
  3. 2019SemEval-2017 Task 4: Sentiment Analysis in Twittercited by 210
  4. 2019SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)cited by 207
  5. 2022TimeLMs: Diachronic Language Models from Twittercited by 131
  6. 2021XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyondcited by 114
  7. 2021Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoderscited by 88
  8. 2020Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Researchcited by 67
  9. 2017Building a Sentiment Corpus of Tweets in Brazilian Portuguesecited by 20
  10. 2022Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysiscited by 9

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 2; 2023: 12; 2024: 21; 2025: 23; 2026: 13.

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  1. 2023Human Feedback is not Gold Standardcited by 83
  2. 2023Controlled Text Generation via Language Model Arithmeticcited by 51
  3. 2023Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systemscited by 37
  4. 2023OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMscited by 29
  5. 2022Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shiftscited by 28
  6. 2023Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluationcited by 28
  7. 2022Twitter Topic Classificationcited by 22
  8. 2024LiSeCo: Linear Semantic Control for Language Generationcited by 20
  9. 2025LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probingcited by 15
  10. 2023Leveraging Implicit Feedback from Deployment Data in Dialoguecited by 14
  11. 2025CoBRA: Programming Cognitive Bias in Social Agents Using Classic Social Science Experimentscited by 8
  12. 2024Self-interpreting Adversarial Imagescited by 7
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  1. 2024Continuous Output Personality Detection Models via Mixed Strategy Trainingcited by 6
  2. 2025Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysiscited by 6
  3. 2024Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistantscited by 5
  4. 2023A Group Fairness Lens for Large Language Modelscited by 4
  5. 2024Using LLMs to Establish Implicit User Sentiment of Software Desirabilitycited by 4
  6. 2024Extracting Affect Aggregates from Longitudinal Social Media Data with Temporal Adapters for Large Language Modelscited by 4
  7. 2025Speaking Beyond Language: A Large-Scale Multimodal Dataset for Learning Nonverbal Cues from Video-Grounded Dialoguescited by 4
  8. 2023Federated Learning Based Multilingual Emoji Prediction In Clean and Attack Scenarioscited by 3
  9. 2023Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twittercited by 3
  10. 2023ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Predictioncited by 3
  11. 2024Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regressioncited by 3
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  13. 2025RedditESS: A Mental Health Social Support Interaction Dataset -- Understanding Effective Social Support to Refine AI-Driven Support Toolscited by 3
  14. 2025On the Impact of Language Nuances on Sentiment Analysis with Large Language Models: Paraphrasing, Sarcasm, and Emojiscited by 3
  15. 2025AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queriescited by 3
  16. 2025ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentationcited by 3
  17. 2023The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-modal Distillationcited by 2
  18. 2023Non-Compositionality in Sentiment: New Data and Analysescited by 2
  19. 2024Social Orientation: A New Feature for Dialogue Analysiscited by 2
  20. 2024When Stereotypes GTG: The Impact of Predictive Text Suggestions on Gender Bias in Human-AI Co-Writingcited by 2
  21. 2024Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functionscited by 2
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  24. 2024WiDe-analysis: Enabling One-click Content Moderation Analysis on Wikipedia's Articles for Deletioncited by 1
  25. 2024THInC: A Theory-Driven Framework for Computational Humor Detectioncited by 1
  26. 2024Multilingual Topic Classification in X: Dataset and Analysiscited by 1
  27. 2024VEMOCLAP: A video emotion classification web applicationcited by 1
  28. 2025SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversationscited by 1
  29. 2025OSINT or BULLSHINT? Exploring Open-Source Intelligence tweets about the Russo-Ukrainian Warcited by 1
  30. 2025chDzDT: Word-level morphology-aware language model for Algerian social media textcited by 1
  31. 2025Best of mini-N in-loop Sampling: A Contextual Quality Reward Model for Reliable and Efficient Best-of-N Samplingcited by 1
  32. 2025Extending a Parliamentary Corpus with MPs' Tweets: Automatic Annotation and Evaluation Using MultiParTweetcited by 1
  33. 2026MetFuse: Figurative Fusion between Metonymy and Metaphorcited by 1
  34. 2026Evaluating the Realism of LLM-powered Social Agents: A Case Study of Reactions to Spanish Online Newscited by 1
  35. 2026Backdoor Unlearning Generalization: A Path Toward the Removal of Unknown Triggers in LLMscited by 1
  36. 2026Detect, Unlearn, Restore: Defending Text Summarization Models Against Data Poisoningcited by 1
  37. 2026Tracing Provenance and Detecting Tampering with Complementary LLM Watermarkscited by 1
  38. 2024Causal Effects of Trigger Words in Social Media Discussions: A Large-Scale Case Study about UK Politics on Redditcited by 0

50 most cited of 71 All 71 (JSON)