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Sentiment and Sarcasm Classification with Multitask Learning

arXiv 1901.08014 ↗First posted 23 Jan 2019cs.CLcited by 19

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Abstract (arXiv)

Sentiment classification and sarcasm detection are both important natural language processing (NLP) tasks. Sentiment is always coupled with sarcasm where intensive emotion is expressed. Nevertheless, most literature considers them as two separate tasks. We argue that knowledge in sarcasm detection can also be beneficial to sentiment classification and vice versa. We show that these two tasks are correlated, and present a multi-task learning-based framework using a deep neural network that models this correlation to improve the performance of both tasks in a multi-task learning setting. Our method outperforms the state of the art by 3-4% in the benchmark dataset.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jan 2019.

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Citing papers per year: 2021: 7; 2022: 5; 2023: 4; 2024: 0; 2025: 3.

19 papers.

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  1. 2023Will Affective Computing Emerge from Foundation Models and General AI? A First Evaluation on ChatGPTcited by 41
  2. 2021Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Languagecited by 15
  3. 2022A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweetscited by 11
  4. 2022Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compressioncited by 9
  5. 2021"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Spacecited by 5
  6. 2021Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learningcited by 5
  7. 2021Multi-task learning for virtual flow meteringcited by 5
  8. 2022Polarity and Subjectivity Detection with Multitask Learning and BERT Embeddingcited by 3
  9. 2021Multitask Learning for Emotion and Personality Detectioncited by 2
  10. 2022Computational Sarcasm Analysis on Social Media: A Systematic Reviewcited by 2
  11. 2022Sarcasm Detection Framework Using Context, Emotion and Sentiment Featurescited by 2
  12. 2021Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literaturecited by 1
7 more
  1. 2023"When Words Fail, Emojis Prevail": Generating Sarcastic Utterances with Emoji Using Valence Reversal and Semantic Incongruitycited by 1
  2. 2023Sarcasm Detection in a Disaster Contextcited by 1
  3. 2025Intermediate-Task Transfer Learning: Leveraging Sarcasm Detection for Stance Detectioncited by 1
  4. 2025Sarcasm Detection as a Catalyst: Improving Stance Detection with Cross-Target Capabilitiescited by 1
  5. 2021SASICM A Multi-Task Benchmark For Subtext Recognitioncited by 0
  6. 2023Researchers eye-view of sarcasm detection in social media textual contentcited by 0
  7. 2025Hierarchical Adaptive Expert for Multimodal Sentiment Analysiscited by 0