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😊 Sentiment & emotion

472 papers · page 4 of 6 · 226–325 · the most cited first · all topics

Opinions, feelings and attitudes in text: what people like, how they feel, what they mean by it.

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  1. Arabic aspect sentiment polarity classification using BERTMohammed M.Abdelgwad, Taysir Hassan A Soliman, Ahmed I.Taloba2021 · 60 citations
  2. ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine TweetsRamy Baly, Alaa Khaddaj, Hazem Hajj, et al.2019 · 60 citations
  3. Context-Aware Sarcasm Detection Using BERTArup Baruah, Kaushik Das, Ferdous Barbhuiya, et al.2020 · 59 citations
  4. Monday mornings are my fave :) #not Exploring the Automatic Recognition of Irony in English tweetsCynthia Van Hee, Els Lefever, Véronique Hoste2016 · 59 citations
  5. Stance Detection on Social Media with Background KnowledgeAng Li, Bin Liang, Jingqian Zhao, et al.2023 · 58 citations
  6. Tweet Stance Detection Using an Attention based Neural Ensemble ModelUmme Aymun Siddiqua, Abu Nowshed Chy, Masaki Aono2019 · 58 citations
  7. iSarcasm: A Dataset of Intended SarcasmSilviu Oprea, Walid Magdy2020 · 57 citations
  8. Target-Aware Data Augmentation for Stance DetectionYingjie Li, Cornelia Caragea2021 · 56 citations
  9. Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm DetectionTaha Shangipour ataei, Soroush Javdan, Behrouz Minaei-Bidgoli2020 · 56 citations
  10. Representing Social Media Users for Sarcasm DetectionY. Alex Kolchinski, Christopher Potts2018 · 54 citations
  11. When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party DialoguesShivani Kumar, Atharva Kulkarni, Md Shad Akhtar, et al.2022 · 51 citations
  12. DAICT: A Dialectal Arabic Irony Corpus Extracted from TwitterInes Abbes, Wajdi Zaghouani, Omaima El-Hardlo, et al.2020 · 51 citations
  13. A Modular Architecture for Unsupervised Sarcasm GenerationAbhijit Mishra, Tarun Tater, Karthik Sankaranarayanan2019 · 51 citations
  14. Exploring the Realization of Irony in Twitter DataCynthia Van Hee, Els Lefever, Véronique Hoste2016 · 48 citations
  15. Exploring Author Context for Detecting Intended vs Perceived SarcasmSilviu Oprea, Walid Magdy2019 · 47 citations
  16. Detecting Sarcasm in Conversation Context Using Transformer-Based ModelsAdithya Avvaru, Sanath Vobilisetty, Radhika Mamidi2020 · 46 citations
  17. Multilingual Stance Detection in Tweets: The Catalonia Independence CorpusElena Zotova, Rodrigo Agerri, Manuel Nuñez, et al.2020 · 46 citations
  18. How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American TextAditya Joshi, Pushpak Bhattacharyya, Mark Carman, et al.2016 · 46 citations
  19. Mining Subjective Knowledge from Customer Reviews: A Specific Case of Irony DetectionAntonio Reyes, Paolo Rosso2011 · 46 citations
  20. Annotating Sentiment and Irony in the Online Italian Political Debate on #labuonascuolaMarco Stranisci, Cristina Bosco, Delia Irazú Hernández Farías, et al.2016 · 45 citations
  21. What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum ProbabilityYaochen Liu, Yazhou Zhang, Qiuchi Li, et al.2021 · 43 citations
  22. Modelling Irony in Twitter: Feature Analysis and EvaluationFrancesco Barbieri, Horacio Saggion2014 · 42 citations
  23. EPIC: Multi-Perspective Annotation of a Corpus of IronySimona Frenda, Alessandro Pedrani, Valerio Basile, et al.2023 · 41 citations
  24. AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact CheckingTariq Alhindi, Amal Alabdulkarim, Ali Alshehri, et al.2021 · 41 citations
  25. A Few Topical Tweets are Enough for Effective User Stance DetectionYounes Samih, Kareem Darwish2021 · 40 citations
  26. Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern HebrewAdam Amram, Anat Ben David, Reut Tsarfaty2018 · 40 citations
  27. Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment AnalysisBita Nejat, Giuseppe Carenini, Raymond Ng2017 · 40 citations
  28. Improving Stance Detection with Multi-Dataset Learning and Knowledge DistillationYingjie Li, Chenye Zhao, Cornelia Caragea2021 · 39 citations
  29. ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis DatasetBasma Alharbi, Hind Alamro, Manal Alshehri, et al.2020 · 39 citations
  30. We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on TwitterCynthia Van Hee, Els Lefever, Véronique Hoste2018 · 39 citations
  31. WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of IronyOmid Rohanian, Shiva Taslimipoor, Richard Evans, et al.2018 · 39 citations
  32. C-Net: Contextual Network for Sarcasm DetectionAmit Kumar Jena, Aman Sinha, Rohit Agarwal2020 · 38 citations
  33. Unsupervised stance detection for arguments from consequencesJonathan Kobbe, Ioana Hulpuș, Heiner Stuckenschmidt2020 · 38 citations
  34. Sarcasm Detection using Context Separators in Online DiscourseTanvi Dadu, Kartikey Pant2020 · 37 citations
  35. Joint Inference and Disambiguation of Implicit Sentiments via Implicature ConstraintsLingjia Deng, Janyce Wiebe, Yoonjung Choi2014 · 37 citations
  36. Sarcasm and Sentiment Detection In Arabic Tweets Using BERT-based Models and Data AugmentationAbeer Abuzayed, Hend Al-Khalifa2021 · 36 citations
  37. Reactive Supervision: A New Method for Collecting Sarcasm DataBoaz Shmueli, Lun-Wei Ku, Soumya Ray2020 · 36 citations
  38. Sentiment Analysis Dataset in Moroccan Dialect: Bridging the Gap Between Arabic and Latin Scripted dialectMouad Jbel, Mourad Jabrane, Imad Hafidi, et al.2023 · 35 citations
  39. A Multimodal Corpus for Emotion Recognition in SarcasmAnupama Ray, Shubham Mishra, Apoorva Nunna, et al.2022 · 35 citations
  40. MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment SupervisionPatrick Huber, Giuseppe Carenini2020 · 35 citations
  41. Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social MediaXiangjue Dong, Changmao Li, Jinho D. Choi2020 · 35 citations
  42. A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment ConflictYiyi Liu, Yequan Wang, Aixin Sun, et al.2022 · 34 citations
  43. Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysisAli Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar2021 · 34 citations
  44. Transformers on Sarcasm Detection with ContextAmardeep Kumar, Vivek Anand2020 · 34 citations
  45. Breaking NLP: Using Morphosyntax, Semantics, Pragmatics and World Knowledge to Fool Sentiment Analysis SystemsTaylor Mahler, Willy Cheung, Micha Elsner, et al.2017 · 34 citations
  46. Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?Ben Yao, Yazhou Zhang, Qiuchi Li, et al.2024 · 33 citations
  47. Chinese Irony Corpus Construction and Ironic Structure AnalysisYi-jie Tang, Hsin-Hsi Chen2014 · 33 citations
  48. OpenStance: Real-world Zero-shot Stance DetectionHanzi Xu, Slobodan Vucetic, Wenpeng Yin2022 · 32 citations
  49. Neural Sarcasm Detection using Conversation ContextNikhil Jaiswal2020 · 32 citations
  50. A Multi-Task Learning Framework for Multi-Target Stance DetectionYingjie Li, Cornelia Caragea2021 · 31 citations
  51. Sarcasm Identification and Detection in Conversion Context using BERTKalaivani A., Thenmozhi D.2020 · 31 citations
  52. C-STANCE: A Large Dataset for Chinese Zero-Shot Stance DetectionChenye Zhao, Yingjie Li, Cornelia Caragea2023 · 30 citations
  53. Exploiting Sentiment and Common Sense for Zero-shot Stance DetectionYun Luo, Zihan Liu, Yuefeng Shi, et al.2022 · 30 citations
  54. Human Rationales as Attribution Priors for Explainable Stance DetectionSahil Jayaram, Emily Allaway2021 · 30 citations
  55. Really? Well. Apparently Bootstrapping Improves the Performance of Sarcasm and Nastiness Classifiers for Online DialogueStephanie Lukin, Marilyn Walker2013 · 30 citations
  56. A deep-learning framework to detect sarcasm targetsJasabanta Patro, Srijan Bansal, Animesh Mukherjee2019 · 29 citations
  57. “When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of TextAbhijeet Dubey, Lakshya Kumar, Arpan Somani, et al.2019 · 29 citations
  58. Multi-modal Stance Detection: New Datasets and ModelBin Liang, Ang Li, Jingqian Zhao, et al.2024 · 28 citations
  59. MultiPICo: Multilingual Perspectivist Irony CorpusSilvia Casola, Simona Frenda, Soda Marem Lo, et al.2024 · 28 citations
  60. Chain-of-Thought Embeddings for Stance Detection on Social MediaJoseph Gatto, Omar Sharif, Sarah M. Preum2023 · 28 citations
  61. Multimodal Sarcasm Target Identification in TweetsJiquan Wang, Lin Sun, Yi Liu, et al.2022 · 28 citations
  62. Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated TasksJimin Sun, Hwijeen Ahn, Chan Young Park, et al.2021 · 28 citations
  63. NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in TweetsHarsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh2018 · 28 citations
  64. Augmenting Data for Sarcasm Detection with Unlabeled Conversation ContextHankyol Lee, Youngjae Yu, Gunhee Kim2020 · 27 citations
  65. Code-Switching Patterns Can Be an Effective Route to Improve Performance of Downstream NLP Applications: A Case Study of Humour, Sarcasm and Hate Speech DetectionSrijan Bansal, Vishal Garimella, Ayush Suhane, et al.2020 · 27 citations
  66. A Comparative Study of Feature Selection Methods for Dialectal Arabic Sentiment Classification Using Support Vector MachineOmar Al-Harbi2019 · 27 citations
  67. Multi-source Semantic Graph-based Multimodal Sarcasm Explanation GenerationLiqiang Jing, Xuemeng Song, Kun Ouyang, et al.2023 · 26 citations
  68. Zero-Shot and Few-Shot Stance Detection on Varied Topics via Conditional GenerationHaoyang Wen, Alexander Hauptmann2023 · 26 citations
  69. Generative Data Augmentation with Contrastive Learning for Zero-Shot Stance DetectionYang Li, Jiawei Yuan2022 · 26 citations
  70. Arabic Offensive Language Detection Using Machine Learning and Ensemble Machine Learning ApproachesFatemah Husain2020 · 26 citations
  71. A New Direction in Stance Detection: Target-Stance Extraction in the WildYingjie Li, Krishna Garg, Cornelia Caragea2023 · 25 citations
  72. Machine Learning-Based Model for Sentiment and Sarcasm DetectionHamada Nayel, Eslam Amer, Aya Allam, et al.2021 · 25 citations
  73. Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic ConvolutionsJingye Li, Hao Fei, Donghong Ji2020 · 25 citations
  74. Prompt Tuning with Contradictory Intentions for Sarcasm RecognitionYiyi Liu, Ruqing Zhang, Yixing Fan, et al.2023 · 24 citations
  75. A New Amharic Speech Emotion Dataset and Classification BenchmarkEphrem A. Retta, Eiad Almekhlafi, Richard Sutcliffe, et al.2022 · 23 citations
  76. Getting Reliable Annotations for Sarcasm in Online DialoguesReid Swanson, Stephanie Lukin, Luke Eisenberg, et al.2014 · 23 citations
  77. Generalizable Sarcasm Detection is Just Around the Corner, of Course!Hyewon Jang, Diego Frassinelli2024 · 22 citations
  78. Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic LanguageAbdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.2021 · 22 citations
  79. STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence RetrievalCostanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.2020 · 22 citations
  80. TUNIZI: a Tunisian Arabizi sentiment analysis DatasetChayma Fourati, Abir Messaoudi, Hatem Haddad2020 · 22 citations
  81. StanceEval 2024: The First Arabic Stance Detection Shared TaskNora Alturayeif, Hamzah Luqman, Zaid Alyafeai, et al.2024 · 21 citations
  82. Is Stance Detection Topic-Independent and Cross-topic Generalizable? - A Reproduction StudyMyrthe Reuver, Suzan Verberne, Roser Morante, et al.2021 · 21 citations
  83. Multilingual Irony Detection with Dependency Syntax and Neural ModelsAlessandra Teresa Cignarella, Valerio Basile, Manuela Sanguinetti, et al.2020 · 21 citations
  84. CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal ModelsZixin Chen, Hongzhan Lin, Ziyang Luo, et al.2024 · 20 citations
  85. Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment AnalysisDaniela Teodorescu, Saif Mohammad2023 · 20 citations
  86. Topic-Guided Sampling For Data-Efficient Multi-Domain Stance DetectionErik Arakelyan, Arnav Arora, Isabelle Augenstein2023 · 19 citations
  87. Offensive Language Detection in Under-resourced Algerian Dialectal Arabic LanguageOussama Boucherit, Kheireddine Abainia2022 · 19 citations
  88. Spam and Sentiment Detection in Arabic Tweets Using MARBERT ModelAbrar Alotaibi, Atta-ur Rahman, Raheel Alhaza, et al.2022 · 19 citations
  89. Leveraging Offensive Language for Sarcasm and Sentiment Detection in ArabicFatemah Husain, Ozlem Uzuner2021 · 19 citations
  90. Application and Analysis of a Multi-layered Scheme for Irony on the Italian Twitter Corpus TWITTIRÒAlessandra Teresa Cignarella, Cristina Bosco, Viviana Patti, et al.2018 · 19 citations
  91. The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm GenerationTyler Loakman, Aaron Maladry, Chenghua Lin2023 · 18 citations
  92. ExaASC: A General Target-Based Stance Detection Corpus in Arabic LanguageMohammad Mehdi Jaziriyan, Ahmad Akbari, Hamed Karbasi2021 · 18 citations
  93. SarcasmDet at Sarcasm Detection Task 2021 in Arabic using AraBERT Pretrained ModelDalya Faraj, Malak Abdullah2021 · 18 citations
  94. Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other LanguagesEphrem Afele Retta, Richard Sutcliffe, Jabar Mahmood, et al.2023 · 17 citations
  95. Guiding Computational Stance Detection with Expanded Stance Triangle FrameworkZhengyuan Liu, Yong Keong Yap, Hai Leong Chieu, et al.2023 · 17 citations
  96. Ciron: a New Benchmark Dataset for Chinese Irony DetectionRong Xiang, Xuefeng Gao, Yunfei Long, et al.2020 · 17 citations
  97. Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and ReactionChangrong Min, Ximing Li, Liang Yang, et al.2023 · 16 citations
  98. A Contextual Word Embedding for Arabic Sarcasm Detection with Random ForestsHazem Elgabry, Shimaa Attia, Ahmed Abdel-Rahman, et al.2021 · 16 citations
  99. AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection DatasetMohamed Seghir Hadj Ameur, Hassina Aliane2021 · 16 citations
  100. Sarcasm Target Identification: Dataset and An Introductory ApproachAditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al.2018 · 16 citations

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