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😊 Sentiment & emotion

472 papers · page 3 of 6 · 126–225 · 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. NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional TransformersPing Liu, Wen Li, Liang Zou2019 · 252 citations
  2. An Italian Twitter Corpus of Hate Speech against ImmigrantsManuela Sanguinetti, Fabio Poletto, Cristina Bosco, et al.2018 · 251 citations
  3. Overview of the EVALITA 2018 Hate Speech Detection TaskCristina Bosco, Felice Dell'Orletta, Fabio Poletto, et al.2018 · 247 citations
  4. Reasoning with Sarcasm by Reading In-BetweenYi Tay, Anh Tuan Luu, Siu Cheung Hui, et al.2018 · 247 citations
  5. A review of sentiment analysis research in Arabic languageOumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli2020 · 241 citations
  6. SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed TweetsParth Patwa, Gustavo Aguilar, Sudipta Kar, et al.2020 · 240 citations
  7. Irony and Sarcasm: Corpus Generation and Analysis Using CrowdsourcingElena Filatova2012 · 238 citations
  8. Better Document-level Sentiment Analysis from RST Discourse ParsingParminder Bhatia, Yangfeng Ji, Jacob Eisenstein2015 · 235 citations
  9. Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English TextBharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, et al.2020 · 234 citations
  10. Sarcasm Detection on Czech and English TwitterTomáš Ptáček, Ivan Habernal, Jun Hong2014 · 230 citations
  11. MITRE at SemEval-2016 Task 6: Transfer Learning for Stance DetectionGuido Zarrella, Amy Marsh2016 · 223 citations
  12. Modelling Sarcasm in Twitter, a Novel ApproachFrancesco Barbieri, Horacio Saggion, Francesco Ronzano2014 · 217 citations
  13. Automatic Sarcasm Detection: A SurveyAditya Joshi, Pushpak Bhattacharyya, Mark James Carman2016 · 214 citations
  14. Are Word Embedding-based Features Useful for Sarcasm Detection?Aditya Joshi, Vaibhav Tripathi, Kevin Patel, et al.2016 · 211 citations
  15. Fighting Offensive Language on Social Media with Unsupervised Text Style TransferCicero Nogueira dos Santos, Igor Melnyk, Inkit Padhi2018 · 209 citations
  16. CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate SpeechYi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, et al.2019 · 205 citations
  17. Contextualizing Hate Speech Classifiers with Post-hoc ExplanationBrendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, et al.2020 · 203 citations
  18. HateCheck: Functional Tests for Hate Speech Detection ModelsPaul Röttger, Bertie Vidgen, Dong Nguyen, et al.2021 · 202 citations
  19. A Corpus of Turkish Offensive Language on Social MediaÇağrı Çöltekin2020 · 200 citations
  20. SemEval-2013 Task 2: Sentiment Analysis in TwitterPreslav Nakov, Sara Rosenthal, Zornitsa Kozareva, et al.2013 · 200 citations
  21. Semi-Supervised Recognition of Sarcasm in Twitter and AmazonDmitry Davidov, Oren Tsur, Ari Rappoport2010 · 198 citations
  22. A Dataset for Multi-Target Stance DetectionParinaz Sobhani, Diana Inkpen, Xiaodan Zhu2017 · 190 citations
  23. Tweet Sarcasm Detection Using Deep Neural NetworkMeishan Zhang, Yue Zhang, Guohong Fu2016 · 189 citations
  24. A Survey on Stance Detection for Mis- and Disinformation IdentificationMomchil Hardalov, Arnav Arora, Preslav Nakov, et al.2022 · 187 citations
  25. Integrating Stance Detection and Fact Checking in a Unified CorpusRamy Baly, Mitra Mohtarami, James Glass, et al.2018 · 186 citations
  26. Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm DetectionHongliang Pan, Zheng Lin, Peng Fu, et al.2020 · 181 citations
  27. Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very PersonalAniruddha Ghosh, Tony Veale2017 · 174 citations
  28. Stance Detection in COVID-19 TweetsKyle Glandt, Sarthak Khanal, Yingjie Li, et al.2021 · 173 citations
  29. Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion AnalysisDushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al.2020 · 173 citations
  30. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional NetworkBin Liang, Chenwei Lou, Xiang Li, et al.2022 · 172 citations
  31. P-Stance: A Large Dataset for Stance Detection in Political DomainYingjie Li, Tiberiu Sosea, Aditya Sawant, et al.2021 · 169 citations
  32. Offensive Language Identification in GreekZesis Pitenis, Marcos Zampieri, Tharindu Ranasinghe2020 · 168 citations
  33. Arabic Offensive Language on Twitter: Analysis and ExperimentsHamdy Mubarak, Ammar Rashed, Kareem Darwish, et al.2021 · 165 citations
  34. Creating and Characterizing a Diverse Corpus of Sarcasm in DialogueShereen Oraby, Vrindavan Harrison, Lena Reed, et al.2016 · 163 citations
  35. Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion KnowledgeBowen Zhang, Min Yang, Xutao Li, et al.2020 · 160 citations
  36. Emotions from Text: Machine Learning for Text-based Emotion PredictionCecilia Ovesdotter Alm, Dan Roth, Richard Sproat2005 · 160 citations
  37. A Sentiment Analysis Dataset for Code-Mixed Malayalam-EnglishBharathi Raja Chakravarthi, Navya Jose, Shardul Suryawanshi, et al.2020 · 158 citations
  38. Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech DatasetsPaula Fortuna, Juan Soler, Leo Wanner2020 · 156 citations
  39. Automatic Stance Detection Using End-to-End Memory NetworksMitra Mohtarami, Ramy Baly, James Glass, et al.2018 · 156 citations
  40. pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance DetectionWan Wei, Xiao Zhang, Xuqin Liu, et al.2016 · 155 citations
  41. Will-They-Won't-They: A Very Large Dataset for Stance Detection on TwitterCostanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.2020 · 151 citations
  42. SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and ArabicIbrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.2022 · 146 citations
  43. AfriSenti: A Twitter Sentiment Analysis Benchmark for African LanguagesShamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, et al.2023 · 143 citations
  44. Deep contextualized word representations for detecting sarcasm and ironySuzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al.2018 · 141 citations
  45. Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of WordsDebanjan Ghosh, Weiwei Guo, Smaranda Muresan2015 · 141 citations
  46. An Impact Analysis of Features in a Classification Approach to Irony Detection in Product ReviewsKonstantin Buschmeier, Philipp Cimiano, Roman Klinger2014 · 140 citations
  47. Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural NetworkAbhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya2017 · 139 citations
  48. Affective and Contextual Embedding for Sarcasm DetectionNastaran Babanejad, Heidar Davoudi, Aijun An, et al.2020 · 135 citations
  49. Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge GraphRui Liu, Zheng Lin, Yutong Tan, et al.2021 · 134 citations
  50. Stance Detection with Hierarchical Attention NetworkQingying Sun, Zhongqing Wang, Qiaoming Zhu, et al.2018 · 133 citations
  51. Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge EnhancementHui Liu, Wenya Wang, Haoliang Li2022 · 132 citations
  52. Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' DisagreementElisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio, et al.2021 · 132 citations
  53. From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm DatasetIbrahim Abu Farha, Walid Magdy2020 · 132 citations
  54. A Retrospective Analysis of the Fake News Challenge Stance-Detection TaskAndreas Hanselowski, Avinesh PVS, Benjamin Schiller, et al.2018 · 132 citations
  55. Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection CorpusHendrik Schuff, Jeremy Barnes, Julian Mohme, et al.2017 · 129 citations
  56. NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment AnalysisShamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, et al.2022 · 127 citations
  57. Arabic aspect based sentiment analysis using bidirectional GRU based modelsMohammed M.Abdelgwad, Taysir Hassan A Soliman, Ahmed I.Taloba, et al.2021 · 127 citations
  58. Adversarial Learning for Zero-Shot Stance Detection on Social MediaEmily Allaway, Malavika Srikanth, Kathleen McKeown2021 · 124 citations
  59. JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance DetectionBin Liang, Qinglin Zhu, Xiang Li, et al.2022 · 119 citations
  60. Knowledge Enhanced Masked Language Model for Stance DetectionKornraphop Kawintiranon, Lisa Singh2021 · 119 citations
  61. Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity ClassificationSwapna Somasundaran, Galileo Namata, Janyce Wiebe, et al.2009 · 119 citations
  62. Sarcasm Analysis Using Conversation ContextDebanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan2018 · 118 citations
  63. Word Affect IntensitiesSaif Mohammad2018 · 114 citations
  64. Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasmAnupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, et al.2015 · 114 citations
  65. Multi-Task Stance Detection with Sentiment and Stance LexiconsYingjie Li, Cornelia Caragea2019 · 113 citations
  66. Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in ArabicIbrahim Abu Farha, Wajdi Zaghouani, Walid Magdy2021 · 112 citations
  67. Sentiment Propagation via Implicature ConstraintsLingjia Deng, Janyce Wiebe2014 · 112 citations
  68. Offensive Language and Hate Speech Detection for DanishGudbjartur Ingi Sigurbergsson, Leon Derczynski2020 · 106 citations
  69. Modelling Irony in TwitterFrancesco Barbieri, Horacio Saggion2014 · 104 citations
  70. The Role of Conversation Context for Sarcasm Detection in Online InteractionsDebanjan Ghosh, Alexander Richard Fabbri, Smaranda Muresan2017 · 99 citations
  71. Emojis as Anchors to Detect Arabic Offensive Language and Hate SpeechHamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury2022 · 96 citations
  72. Cross-Domain Label-Adaptive Stance DetectionMomchil Hardalov, Arnav Arora, Preslav Nakov, et al.2021 · 96 citations
  73. Overview of the EVALITA 2018 Task on Irony Detection in Italian Tweets (IronITA)Alessandra Teresa Cignarella, Simona Frenda, Valerio Basile, et al.2018 · 95 citations
  74. Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine TranslationLotem Peled, Roi Reichart2017 · 94 citations
  75. A Report on the 2020 Sarcasm Detection Shared TaskDebanjan Ghosh, Avijit Vajpayee, Smaranda Muresan2020 · 92 citations
  76. Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion CausesHyunwoo Kim, Byeongchang Kim, Gunhee Kim2021 · 90 citations
  77. CASCADE: Contextual Sarcasm Detection in Online Discussion ForumsDevamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, et al.2018 · 89 citations
  78. Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.2016 · 87 citations
  79. R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense KnowledgeTuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, et al.2020 · 86 citations
  80. Harnessing Cognitive Features for Sarcasm DetectionAbhijit Mishra, Diptesh Kanojia, Seema Nagar, et al.2016 · 85 citations
  81. Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter ConversationsGavin Abercrombie, Dirk Hovy2016 · 85 citations
  82. Towards a Contextual Pragmatic Model to Detect Irony in TweetsJihen Karoui, Farah Benamara Zitoune, Véronique Moriceau, et al.2015 · 81 citations
  83. Towards Emotion-aided Multi-modal Dialogue Act ClassificationTulika Saha, Aditya Patra, Sriparna Saha, et al.2020 · 78 citations
  84. Resolving Object and Attribute Coreference in Opinion MiningXiaowen Ding, Bing Liu2010 · 78 citations
  85. Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance DetectionLara Grimminger, Roman Klinger2021 · 73 citations
  86. Stance Detection in Fake News A Combined Feature RepresentationBilal Ghanem, Paolo Rosso, Francisco Rangel2018 · 73 citations
  87. Infusing Knowledge from Wikipedia to Enhance Stance DetectionZihao He, Negar Mokhberian, Kristina Lerman2022 · 72 citations
  88. POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance DetectionYujian Liu, Xinliang Frederick Zhang, David Wegsman, et al.2022 · 70 citations
  89. Are you serious?: Rhetorical Questions and Sarcasm in Social Media DialogShereen Oraby, Vrindavan Harrison, Amita Misra, et al.2017 · 70 citations
  90. A Unified Theory of Irony and Its Computational FormalizationAkira Utsumi1996 · 70 citations
  91. Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus StudyJihen Karoui, Farah Benamara, Véronique Moriceau, et al.2017 · 69 citations
  92. HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion RecognitionAvihay Chriqui, Inbal Yahav2021 · 68 citations
  93. Dynamic Routing Transformer Network for Multimodal Sarcasm DetectionYuan Tian, Nan Xu, Ruike Zhang, et al.2023 · 66 citations
  94. Multi-task dialog act and sentiment recognition on MastodonChristophe Cerisara, Somayeh Jafaritazehjani, Adedayo Oluokun, et al.2018 · 66 citations
  95. MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection SystemLibo Qin, Shijue Huang, Qiguang Chen, et al.2023 · 65 citations
  96. Benchmarking Transformer-based Language Models for Arabic Sentiment and Sarcasm DetectionIbrahim Abu Farha, Walid Magdy2021 · 64 citations
  97. A Multi-Platform Arabic News Comment Dataset for Offensive Language DetectionShammur Absar Chowdhury, Hamdy Mubarak, Ahmed Abdelali, et al.2020 · 64 citations
  98. The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political DiscoursePere-Lluís Huguet Cabot, Verna Dankers, David Abadi, et al.2020 · 64 citations
  99. A Novel Hierarchical BERT Architecture for Sarcasm DetectionHimani Srivastava, Vaibhav Varshney, Surabhi Kumari, et al.2020 · 62 citations
  100. Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text DataXinyu Wang, Xiaowen Sun, Tan Yang, et al.2020 · 62 citations

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