mlsanityData to 7 Oct 2026

Emotion Detection on TV Show Transcripts with Sequence-based Convolutional Neural Networks

arXiv 1708.04299 ↗First posted 14 Aug 2017cs.CLcited by 102

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Abstract (arXiv)

While there have been significant advances in detecting emotions from speech and image recognition, emotion detection on text is still under-explored and remained as an active research field. This paper introduces a corpus for text-based emotion detection on multiparty dialogue as well as deep neural models that outperform the existing approaches for document classification. We first present a new corpus that provides annotation of seven emotions on consecutive utterances in dialogues extracted from the show, Friends. We then suggest four types of sequence-based convolutional neural network models with attention that leverage the sequence information encapsulated in dialogue. Our best model shows the accuracies of 37.9% and 54% for fine- and coarse-grained emotions, respectively. Given the difficulty of this task, this is promising.

Key facts. Cited by 102 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Aug 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 13; 2022: 16; 2023: 30; 2024: 18; 2025: 16; 2026: 9.

102 papers.

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  1. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  2. 2021Directed Acyclic Graph Network for Conversational Emotion Recognitioncited by 97
  3. 2021SummScreen: A Dataset for Abstractive Screenplay Summarizationcited by 80
  4. 2021Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detectioncited by 56
  5. 2023Is ChatGPT Equipped with Emotional Dialogue Capabilities?cited by 54
  6. 2023Towards Interpretable Mental Health Analysis with Large Language Modelscited by 53
  7. 2022M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Databasecited by 50
  8. 2025SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Informationcited by 42
  9. 2021CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversationcited by 35
  10. 2021Contrast and Generation Make BART a Good Dialogue Emotion Recognizercited by 35
  11. 2023A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learningcited by 32
  12. 2022Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversationcited by 31
38 more
  1. 2022A Multimodal Corpus for Emotion Recognition in Sarcasmcited by 29
  2. 2023DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversationscited by 29
  3. 2021Graph Based Network with Contextualized Representations of Turns in Dialoguecited by 26
  4. 2024Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directionscited by 26
  5. 2021Hybrid Curriculum Learning for Emotion Recognition in Conversationcited by 25
  6. 2024Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspectivecited by 24
  7. 2021EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systemscited by 20
  8. 2023Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversationscited by 19
  9. 2023UniSA: Unified Generative Framework for Sentiment Analysiscited by 17
  10. 2021Automatically Select Emotion for Response via Personality-affected Emotion Transitioncited by 15
  11. 2023Cluster-Level Contrastive Learning for Emotion Recognition in Conversationscited by 14
  12. 2025Nature-Inspired Population-Based Evolution of Large Language Modelscited by 14
  13. 2023Is ChatGPT a Good Multi-Party Conversation Solver?cited by 13
  14. 2024LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristicscited by 13
  15. 2022Deep Emotion Recognition in Textual Conversations: A Surveycited by 12
  16. 2023Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Modelscited by 12
  17. 2022FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialoguecited by 11
  18. 2023InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Modelscited by 11
  19. 2023Bias in Emotion Recognition with ChatGPTcited by 11
  20. 2024Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligencecited by 11
  21. 2024BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Taskscited by 11
  22. 2025Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospectscited by 10
  23. 2021S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversationcited by 9
  24. 2023BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversationcited by 9
  25. 2024Major Entity Identification: A Generalizable Alternative to Coreference Resolutioncited by 9
  26. 2024EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse Dynamicscited by 9
  27. 2022Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversationcited by 8
  28. 2023Commonsense Reasoning for Conversational AI: A Survey of the State of the Artcited by 7
  29. 2023EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversationcited by 7
  30. 2023Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attentioncited by 6
  31. 2025Akan Cinematic Emotions (ACE): A Multimodal Multi-party Dataset for Emotion Recognition in Movie Dialoguescited by 6
  32. 2025Multi-Party Conversational Agents: A Surveycited by 6
  33. 2025Why Do More Experts Fail? A Theoretical Analysis of Model Mergingcited by 6
  34. 2023RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognitioncited by 5
  35. 2023Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognitioncited by 5
  36. 2022The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversationcited by 4
  37. 2022Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversationcited by 4
  38. 2022GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extractioncited by 4

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