mlsanityData to 7 Oct 2026

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research

arXiv 2005.00357 ↗First posted 1 May 2020cs.CL cs.IRcited by 67

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Abstract (arXiv)

Sentiment analysis as a field has come a long way since it was first introduced as a task nearly 20 years ago. It has widespread commercial applications in various domains like marketing, risk management, market research, and politics, to name a few. Given its saturation in specific subtasks -- such as sentiment polarity classification -- and datasets, there is an underlying perception that this field has reached its maturity. In this article, we discuss this perception by pointing out the shortcomings and under-explored, yet key aspects of this field that are necessary to attain true sentiment understanding. We analyze the significant leaps responsible for its current relevance. Further, we attempt to chart a possible course for this field that covers many overlooked and unanswered questions.

Key facts. Cited by 67 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 May 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 13; 2022: 12; 2023: 17; 2024: 11; 2025: 9; 2026: 5.

67 papers.

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  1. 2023Sentiment Analysis in the Era of Large Language Models: A Reality Checkcited by 262
  2. 2021Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysiscited by 179
  3. 2021Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysiscited by 130
  4. 2022TweetNLP: Cutting-Edge Natural Language Processing for Social Mediacited by 71
  5. 2023AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languagescited by 68
  6. 2022A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challengescited by 61
  7. 2022Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Modulecited by 43
  8. 2021Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translationcited by 41
  9. 2023SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)cited by 41
  10. 2022Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysiscited by 20
  11. 2023Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understandingcited by 19
  12. 2021Decoding EEG Brain Activity for Multi-Modal Natural Language Processingcited by 13
38 more
  1. 2021Aspect Sentiment Triplet Extraction Using Reinforcement Learningcited by 12
  2. 2021ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptorscited by 12
  3. 2021Two Contrasting Data Annotation Paradigms for Subjective NLP Taskscited by 12
  4. 2022SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learningcited by 12
  5. 2022Deep Emotion Recognition in Textual Conversations: A Surveycited by 12
  6. 2023Through the Lens of Core Competency: Survey on Evaluation of Large Language Modelscited by 12
  7. 2023Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learningcited by 9
  8. 2024Financial Sentiment Analysis on News and Reports Using Large Language Models and FinBERTcited by 9
  9. 2021Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extractioncited by 8
  10. 2021KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Taskscited by 8
  11. 2022Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Biascited by 8
  12. 2023Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languagescited by 8
  13. 2024Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategiescited by 8
  14. 2024RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysiscited by 7
  15. 2022Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysiscited by 6
  16. 2022Learning a General Clause-to-Clause Relationships for Enhancing Emotion-Cause Pair Extractioncited by 4
  17. 2023Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusioncited by 4
  18. 2024Triple Disentangled Representation Learning for Multimodal Affective Analysiscited by 4
  19. 2024Improving Language Models for Emotion Analysis: Insights from Cognitive Sciencecited by 4
  20. 2024End-to-end Semantic-centric Video-based Multimodal Affective Computingcited by 4
  21. 2021From Multimodal to Unimodal Attention in Transformers using Knowledge Distillationcited by 3
  22. 2021LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequencescited by 3
  23. 2022Survey of Aspect-based Sentiment Analysis Datasetscited by 3
  24. 2022Natural Language Processing for Cognitive Analysis of Emotionscited by 3
  25. 2023Cross-lingual Transfer Can Worsen Bias in Sentiment Analysiscited by 3
  26. 2023Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extractioncited by 3
  27. 2023The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languagescited by 3
  28. 2024Sequence-to-Sequence Language Models for Character and Emotion Detection in Dream Narrativescited by 3
  29. 2025RoHyDR: Robust Hybrid Diffusion Recovery for Incomplete Multimodal Emotion Recognitioncited by 3
  30. 2025EmoNet-Voice: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detectioncited by 3
  31. 2021The emojification of sentiment on social media: Collection and analysis of a longitudinal Twitter sentiment datasetcited by 2
  32. 2023EmoTwiCS: A Corpus for Modelling Emotion Trajectories in Dutch Customer Service Dialogues on Twittercited by 2
  33. 2024Algorithmic Fairness: A Tolerance Perspectivecited by 2
  34. 2025TACFN: Transformer-based Adaptive Cross-modal Fusion Network for Multimodal Emotion Recognitioncited by 2
  35. 2025When LLMs Team Up: The Emergence of Collaborative Affective Computingcited by 2
  36. 2022Trust in Language Grounding: a new AI challenge for human-robot teamscited by 1
  37. 2024Mapping Violence: Developing an Extensive Framework to Build a Bangla Sectarian Expression Dataset from Social Media Interactionscited by 1
  38. 2024Collaborative AI in Sentiment Analysis: System Architecture, Data Prediction and Deployment Strategiescited by 1

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