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title: "Sentiment & emotion — papers, page 3"
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# 😊 Sentiment & emotion

472 papers · page 3 of 6 · 126–225 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

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

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126. [**NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers**Ping Liu, Wen Li, Liang Zou*2019 · 252 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-nuli-semeval-2019-task-6/)
127. [**An Italian Twitter Corpus of Hate Speech against Immigrants**Manuela Sanguinetti, Fabio Poletto, Cristina Bosco, et al.*2018 · 251 citations*](https://md.research.elamur.ai/free/en/papers/sanguinetti-2018-italian-twitter-corpus-hate-speech/)
128. [**Overview of the EVALITA 2018 Hate Speech Detection Task**Cristina Bosco, Felice Dell'Orletta, Fabio Poletto, et al.*2018 · 247 citations*](https://md.research.elamur.ai/free/en/papers/bosco-2018-overview-evalita-2018-hate-speech/)
129. [**Reasoning with Sarcasm by Reading In-Between**Yi Tay, Anh Tuan Luu, Siu Cheung Hui, et al.*2018 · 247 citations*](https://md.research.elamur.ai/free/en/papers/tay-2018-reasoning-sarcasm-reading-between/)
130. [**A review of sentiment analysis research in Arabic language**Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/oueslati-2020-review-sentiment-analysis-research-arabic/)
131. [**SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets**Parth Patwa, Gustavo Aguilar, Sudipta Kar, et al.*2020 · 240 citations*](https://md.research.elamur.ai/free/en/papers/patwa-2020-semeval-2020-task-9-overview/)
132. [**Irony and Sarcasm: Corpus Generation and Analysis Using Crowdsourcing**Elena Filatova*2012 · 238 citations*](https://md.research.elamur.ai/free/en/papers/filatova-2012-irony-sarcasm-corpus-generation-analysis/)
133. [**Better Document-level Sentiment Analysis from RST Discourse Parsing**Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein*2015 · 235 citations*](https://md.research.elamur.ai/free/en/papers/bhatia-2015-better-document-level-sentiment-analysis/)
134. [**Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text**Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, et al.*2020 · 234 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-corpus-creation-sentiment-analysis-code/)
135. [**Sarcasm Detection on Czech and English Twitter**Tomáš Ptáček, Ivan Habernal, Jun Hong*2014 · 230 citations*](https://md.research.elamur.ai/free/en/papers/ptacek-2014-sarcasm-detection-czech-english-twitter/)
136. [**MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection**Guido Zarrella, Amy Marsh*2016 · 223 citations*](https://md.research.elamur.ai/free/en/papers/zarrella-2016-mitre-semeval-2016-task-6/)
137. [**Modelling Sarcasm in Twitter, a Novel Approach**Francesco Barbieri, Horacio Saggion, Francesco Ronzano*2014 · 217 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-sarcasm-twitter-novel-approach/)
138. [**Automatic Sarcasm Detection: A Survey**Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman*2016 · 214 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-automatic-sarcasm-detection-survey/)
139. [**Are Word Embedding-based Features Useful for Sarcasm Detection?**Aditya Joshi, Vaibhav Tripathi, Kevin Patel, et al.*2016 · 211 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-are-word-embedding-based-features/)
140. [**Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer**Cicero Nogueira dos Santos, Igor Melnyk, Inkit Padhi*2018 · 209 citations*](https://md.research.elamur.ai/free/en/papers/santos-2018-fighting-offensive-language-social-media/)
141. [**CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech**Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, et al.*2019 · 205 citations*](https://md.research.elamur.ai/free/en/papers/chung-2019-conan-counter-narratives-through-nichesourcing/)
142. [**Contextualizing Hate Speech Classifiers with Post-hoc Explanation**Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, et al.*2020 · 203 citations*](https://md.research.elamur.ai/free/en/papers/kennedy-2020-contextualizing-hate-speech-classifiers-post/)
143. [**HateCheck: Functional Tests for Hate Speech Detection Models**Paul Röttger, Bertie Vidgen, Dong Nguyen, et al.*2021 · 202 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2021-hatecheck-functional-tests-hate-speech/)
144. [**A Corpus of Turkish Offensive Language on Social Media**Çağrı Çöltekin*2020 · 200 citations*](https://md.research.elamur.ai/free/en/papers/coltekin-2020-corpus-turkish-offensive-language-social/)
145. [**SemEval-2013 Task 2: Sentiment Analysis in Twitter**Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, et al.*2013 · 200 citations*](https://md.research.elamur.ai/free/en/papers/nakov-2013-semeval-2013-task-2-sentiment/)
146. [**Semi-Supervised Recognition of Sarcasm in Twitter and Amazon**Dmitry Davidov, Oren Tsur, Ari Rappoport*2010 · 198 citations*](https://md.research.elamur.ai/free/en/papers/davidov-2010-semi-supervised-recognition-sarcasm-twitter/)
147. [**A Dataset for Multi-Target Stance Detection**Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu*2017 · 190 citations*](https://md.research.elamur.ai/free/en/papers/sobhani-2017-dataset-multi-target-stance-detection/)
148. [**Tweet Sarcasm Detection Using Deep Neural Network**Meishan Zhang, Yue Zhang, Guohong Fu*2016 · 189 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2016-tweet-sarcasm-detection-deep-neural/)
149. [**A Survey on Stance Detection for Mis- and Disinformation Identification**Momchil Hardalov, Arnav Arora, Preslav Nakov, et al.*2022 · 187 citations*](https://md.research.elamur.ai/free/en/papers/hardalov-2022-survey-stance-detection-mis-disinformation/)
150. [**Integrating Stance Detection and Fact Checking in a Unified Corpus**Ramy Baly, Mitra Mohtarami, James Glass, et al.*2018 · 186 citations*](https://md.research.elamur.ai/free/en/papers/baly-2018-integrating-stance-detection-fact-checking/)
151. [**Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection**Hongliang Pan, Zheng Lin, Peng Fu, et al.*2020 · 181 citations*](https://md.research.elamur.ai/free/en/papers/pan-2020-modeling-intra-inter-modality-incongruity/)
152. [**Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal**Aniruddha Ghosh, Tony Veale*2017 · 174 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2017-magnets-sarcasm-making-sarcasm-detection/)
153. [**Stance Detection in COVID-19 Tweets**Kyle Glandt, Sarthak Khanal, Yingjie Li, et al.*2021 · 173 citations*](https://md.research.elamur.ai/free/en/papers/glandt-2021-stance-detection-covid-19-tweets/)
154. [**Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis**Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al.*2020 · 173 citations*](https://md.research.elamur.ai/free/en/papers/chauhan-2020-sentiment-emotion-help-sarcasm-multi/)
155. [**Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network**Bin Liang, Chenwei Lou, Xiang Li, et al.*2022 · 172 citations*](https://md.research.elamur.ai/free/en/papers/liang-2022-multi-modal-sarcasm-detection-cross/)
156. [**P-Stance: A Large Dataset for Stance Detection in Political Domain**Yingjie Li, Tiberiu Sosea, Aditya Sawant, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-p-stance-large-dataset-stance/)
157. [**Offensive Language Identification in Greek**Zesis Pitenis, Marcos Zampieri, Tharindu Ranasinghe*2020 · 168 citations*](https://md.research.elamur.ai/free/en/papers/pitenis-2020-offensive-language-identification-greek/)
158. [**Arabic Offensive Language on Twitter: Analysis and Experiments**Hamdy Mubarak, Ammar Rashed, Kareem Darwish, et al.*2021 · 165 citations*](https://md.research.elamur.ai/free/en/papers/mubarak-2021-arabic-offensive-language-twitter-analysis/)
159. [**Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue**Shereen Oraby, Vrindavan Harrison, Lena Reed, et al.*2016 · 163 citations*](https://md.research.elamur.ai/free/en/papers/oraby-2016-creating-characterizing-diverse-corpus-sarcasm/)
160. [**Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge**Bowen Zhang, Min Yang, Xutao Li, et al.*2020 · 160 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-enhancing-cross-target-stance-detection/)
161. [**Emotions from Text: Machine Learning for Text-based Emotion Prediction**Cecilia Ovesdotter Alm, Dan Roth, Richard Sproat*2005 · 160 citations*](https://md.research.elamur.ai/free/en/papers/alm-2005-emotions-text-machine-learning-text/)
162. [**A Sentiment Analysis Dataset for Code-Mixed Malayalam-English**Bharathi Raja Chakravarthi, Navya Jose, Shardul Suryawanshi, et al.*2020 · 158 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-sentiment-analysis-dataset-code-mixed/)
163. [**Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech Datasets**Paula Fortuna, Juan Soler, Leo Wanner*2020 · 156 citations*](https://md.research.elamur.ai/free/en/papers/fortuna-2020-toxic-hateful-offensive-or-abusive/)
164. [**Automatic Stance Detection Using End-to-End Memory Networks**Mitra Mohtarami, Ramy Baly, James Glass, et al.*2018 · 156 citations*](https://md.research.elamur.ai/free/en/papers/mohtarami-2018-automatic-stance-detection-end-end/)
165. [**pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection**Wan Wei, Xiao Zhang, Xuqin Liu, et al.*2016 · 155 citations*](https://md.research.elamur.ai/free/en/papers/wei-2016-pkudblab-semeval-2016-task-6/)
166. [**Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2020 · 151 citations*](https://md.research.elamur.ai/free/en/papers/conforti-2020-will-they-won-t-they/)
167. [**SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic**Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.*2022 · 146 citations*](https://md.research.elamur.ai/free/en/papers/farha-2022-semeval-2022-task-6-isarcasmeval/)
168. [**AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages**Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, et al.*2023 · 143 citations*](https://md.research.elamur.ai/free/en/papers/muhammad-2023-afrisenti-twitter-sentiment-analysis-benchmark/)
169. [**Deep contextualized word representations for detecting sarcasm and irony**Suzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al.*2018 · 141 citations*](https://md.research.elamur.ai/free/en/papers/ilic-2018-deep-contextualized-word-representations-detecting/)
170. [**Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words**Debanjan Ghosh, Weiwei Guo, Smaranda Muresan*2015 · 141 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2015-sarcastic-or-not-word-embeddings/)
171. [**An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews**Konstantin Buschmeier, Philipp Cimiano, Roman Klinger*2014 · 140 citations*](https://md.research.elamur.ai/free/en/papers/buschmeier-2014-impact-analysis-features-classification-approach/)
172. [**Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network**Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya*2017 · 139 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2017-learning-cognitive-features-gaze-data/)
173. [**Affective and Contextual Embedding for Sarcasm Detection**Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.*2020 · 135 citations*](https://md.research.elamur.ai/free/en/papers/babanejad-2020-affective-contextual-embedding-sarcasm-detection/)
174. [**Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph**Rui Liu, Zheng Lin, Yutong Tan, et al.*2021 · 134 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-enhancing-zero-shot-few-shot/)
175. [**Stance Detection with Hierarchical Attention Network**Qingying Sun, Zhongqing Wang, Qiaoming Zhu, et al.*2018 · 133 citations*](https://md.research.elamur.ai/free/en/papers/sun-2018-stance-detection-hierarchical-attention-network/)
176. [**Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement**Hui Liu, Wenya Wang, Haoliang Li*2022 · 132 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-multi-modal-sarcasm-detection-hierarchical/)
177. [**Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement**Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio, et al.*2021 · 132 citations*](https://md.research.elamur.ai/free/en/papers/leonardelli-2021-agreeing-disagree-annotating-offensive-language/)
178. [**From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset**Ibrahim Abu Farha, Walid Magdy*2020 · 132 citations*](https://md.research.elamur.ai/free/en/papers/farha-2020-arabic-sentiment-analysis-sarcasm-detection/)
179. [**A Retrospective Analysis of the Fake News Challenge Stance-Detection Task**Andreas Hanselowski, Avinesh PVS, Benjamin Schiller, et al.*2018 · 132 citations*](https://md.research.elamur.ai/free/en/papers/hanselowski-2018-retrospective-analysis-fake-news-challenge/)
180. [**Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus**Hendrik Schuff, Jeremy Barnes, Julian Mohme, et al.*2017 · 129 citations*](https://md.research.elamur.ai/free/en/papers/schuff-2017-annotation-modelling-analysis-fine-grained/)
181. [**NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis**Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, et al.*2022 · 127 citations*](https://md.research.elamur.ai/free/en/papers/muhammad-2022-naijasenti-nigerian-twitter-sentiment-corpus/)
182. [**Arabic aspect based sentiment analysis using bidirectional GRU based models**Mohammed M.Abdelgwad, Taysir Hassan A Soliman, Ahmed I.Taloba, et al.*2021 · 127 citations*](https://md.research.elamur.ai/free/en/papers/m-abdelgwad-2021-arabic-aspect-based-sentiment-analysis/)
183. [**Adversarial Learning for Zero-Shot Stance Detection on Social Media**Emily Allaway, Malavika Srikanth, Kathleen McKeown*2021 · 124 citations*](https://md.research.elamur.ai/free/en/papers/allaway-2021-adversarial-learning-zero-shot-stance/)
184. [**JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection**Bin Liang, Qinglin Zhu, Xiang Li, et al.*2022 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liang-2022-jointcl-joint-contrastive-learning-framework/)
185. [**Knowledge Enhanced Masked Language Model for Stance Detection**Kornraphop Kawintiranon, Lisa Singh*2021 · 119 citations*](https://md.research.elamur.ai/free/en/papers/kawintiranon-2021-knowledge-enhanced-masked-language-model/)
186. [**Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification**Swapna Somasundaran, Galileo Namata, Janyce Wiebe, et al.*2009 · 119 citations*](https://md.research.elamur.ai/free/en/papers/somasundaran-2009-supervised-unsupervised-methods-employing-discourse/)
187. [**Sarcasm Analysis Using Conversation Context**Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan*2018 · 118 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2018-sarcasm-analysis-conversation-context/)
188. [**Word Affect Intensities**Saif Mohammad*2018 · 114 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2018-word-affect-intensities/)
189. [**Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm**Anupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, et al.*2015 · 114 citations*](https://md.research.elamur.ai/free/en/papers/khattri-2015-your-sentiment-precedes-you-author/)
190. [**Multi-Task Stance Detection with Sentiment and Stance Lexicons**Yingjie Li, Cornelia Caragea*2019 · 113 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-multi-task-stance-detection-sentiment/)
191. [**Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic**Ibrahim Abu Farha, Wajdi Zaghouani, Walid Magdy*2021 · 112 citations*](https://md.research.elamur.ai/free/en/papers/farha-2021-overview-wanlp-2021-shared-task/)
192. [**Sentiment Propagation via Implicature Constraints**Lingjia Deng, Janyce Wiebe*2014 · 112 citations*](https://md.research.elamur.ai/free/en/papers/deng-2014-sentiment-propagation-implicature-constraints/)
193. [**Offensive Language and Hate Speech Detection for Danish**Gudbjartur Ingi Sigurbergsson, Leon Derczynski*2020 · 106 citations*](https://md.research.elamur.ai/free/en/papers/sigurbergsson-2020-offensive-language-hate-speech-detection/)
194. [**Modelling Irony in Twitter**Francesco Barbieri, Horacio Saggion*2014 · 104 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-irony-twitter/)
195. [**The Role of Conversation Context for Sarcasm Detection in Online Interactions**Debanjan Ghosh, Alexander Richard Fabbri, Smaranda Muresan*2017 · 99 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2017-role-conversation-context-sarcasm-detection/)
196. [**Emojis as Anchors to Detect Arabic Offensive Language and Hate Speech**Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury*2022 · 96 citations*](https://md.research.elamur.ai/free/en/papers/mubarak-2022-emojis-anchors-detect-arabic-offensive/)
197. [**Cross-Domain Label-Adaptive Stance Detection**Momchil Hardalov, Arnav Arora, Preslav Nakov, et al.*2021 · 96 citations*](https://md.research.elamur.ai/free/en/papers/hardalov-2021-cross-domain-label-adaptive-stance/)
198. [**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*](https://md.research.elamur.ai/free/en/papers/cignarella-2018-overview-evalita-2018-task-irony/)
199. [**Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation**Lotem Peled, Roi Reichart*2017 · 94 citations*](https://md.research.elamur.ai/free/en/papers/peled-2017-sarcasm-sign-interpreting-sarcasm-sentiment/)
200. [**A Report on the 2020 Sarcasm Detection Shared Task**Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan*2020 · 92 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2020-report-2020-sarcasm-detection-shared/)
201. [**Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes**Hyunwoo Kim, Byeongchang Kim, Gunhee Kim*2021 · 90 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-perspective-taking-pragmatics-generating-empathetic/)
202. [**CASCADE: Contextual Sarcasm Detection in Online Discussion Forums**Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, et al.*2018 · 89 citations*](https://md.research.elamur.ai/free/en/papers/hazarika-2018-cascade-contextual-sarcasm-detection-online/)
203. [**Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 87 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-harnessing-sequence-labeling-sarcasm-detection/)
204. [**R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge**Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, et al.*2020 · 86 citations*](https://md.research.elamur.ai/free/en/papers/chakrabarty-2020-r-textasciicircum3-reverse-retrieve-rank/)
205. [**Harnessing Cognitive Features for Sarcasm Detection**Abhijit Mishra, Diptesh Kanojia, Seema Nagar, et al.*2016 · 85 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2016-harnessing-cognitive-features-sarcasm-detection/)
206. [**Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations**Gavin Abercrombie, Dirk Hovy*2016 · 85 citations*](https://md.research.elamur.ai/free/en/papers/abercrombie-2016-putting-sarcasm-detection-into-context/)
207. [**Towards a Contextual Pragmatic Model to Detect Irony in Tweets**Jihen Karoui, Farah Benamara Zitoune, Véronique Moriceau, et al.*2015 · 81 citations*](https://md.research.elamur.ai/free/en/papers/karoui-2015-contextual-pragmatic-model-detect-irony/)
208. [**Towards Emotion-aided Multi-modal Dialogue Act Classification**Tulika Saha, Aditya Patra, Sriparna Saha, et al.*2020 · 78 citations*](https://md.research.elamur.ai/free/en/papers/saha-2020-emotion-aided-multi-modal-dialogue/)
209. [**Resolving Object and Attribute Coreference in Opinion Mining**Xiaowen Ding, Bing Liu*2010 · 78 citations*](https://md.research.elamur.ai/free/en/papers/ding-2010-resolving-object-attribute-coreference-opinion/)
210. [**Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection**Lara Grimminger, Roman Klinger*2021 · 73 citations*](https://md.research.elamur.ai/free/en/papers/grimminger-2021-hate-political-opponent-twitter-corpus/)
211. [**Stance Detection in Fake News A Combined Feature Representation**Bilal Ghanem, Paolo Rosso, Francisco Rangel*2018 · 73 citations*](https://md.research.elamur.ai/free/en/papers/ghanem-2018-stance-detection-fake-news-combined/)
212. [**Infusing Knowledge from Wikipedia to Enhance Stance Detection**Zihao He, Negar Mokhberian, Kristina Lerman*2022 · 72 citations*](https://md.research.elamur.ai/free/en/papers/he-2022-infusing-knowledge-wikipedia-enhance-stance/)
213. [**POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection**Yujian Liu, Xinliang Frederick Zhang, David Wegsman, et al.*2022 · 70 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-politics-pretraining-same-story-article/)
214. [**Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog**Shereen Oraby, Vrindavan Harrison, Amita Misra, et al.*2017 · 70 citations*](https://md.research.elamur.ai/free/en/papers/oraby-2017-are-you-serious-rhetorical-questions/)
215. [**A Unified Theory of Irony and Its Computational Formalization**Akira Utsumi*1996 · 70 citations*](https://md.research.elamur.ai/free/en/papers/utsumi-1996-unified-theory-irony-its-computational/)
216. [**Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study**Jihen Karoui, Farah Benamara, Véronique Moriceau, et al.*2017 · 69 citations*](https://md.research.elamur.ai/free/en/papers/karoui-2017-exploring-impact-pragmatic-phenomena-irony/)
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