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title: "Sentiment & emotion — papers, page 4"
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# 😊 Sentiment & emotion

472 papers · page 4 of 6 · 226–325 · 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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226. [**Arabic aspect sentiment polarity classification using BERT**Mohammed M.Abdelgwad, Taysir Hassan A Soliman, Ahmed I.Taloba*2021 · 60 citations*](https://md.research.elamur.ai/free/en/papers/m-abdelgwad-2021-arabic-aspect-sentiment-polarity-classification/)
227. [**ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets**Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.*2019 · 60 citations*](https://md.research.elamur.ai/free/en/papers/baly-2019-arsentd-lev-multi-topic-corpus/)
228. [**Context-Aware Sarcasm Detection Using BERT**Arup Baruah, Kaushik Das, Ferdous Barbhuiya, et al.*2020 · 59 citations*](https://md.research.elamur.ai/free/en/papers/baruah-2020-context-aware-sarcasm-detection-bert/)
229. [**Monday mornings are my fave :) #not Exploring the Automatic Recognition of Irony in English tweets**Cynthia Van Hee, Els Lefever, Véronique Hoste*2016 · 59 citations*](https://md.research.elamur.ai/free/en/papers/hee-2016-monday-mornings-are-my-fave/)
230. [**Stance Detection on Social Media with Background Knowledge**Ang Li, Bin Liang, Jingqian Zhao, et al.*2023 · 58 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-stance-detection-social-media-background/)
231. [**Tweet Stance Detection Using an Attention based Neural Ensemble Model**Umme Aymun Siddiqua, Abu Nowshed Chy, Masaki Aono*2019 · 58 citations*](https://md.research.elamur.ai/free/en/papers/siddiqua-2019-tweet-stance-detection-attention-based/)
232. [**iSarcasm: A Dataset of Intended Sarcasm**Silviu Oprea, Walid Magdy*2020 · 57 citations*](https://md.research.elamur.ai/free/en/papers/oprea-2020-isarcasm-dataset-intended-sarcasm/)
233. [**Target-Aware Data Augmentation for Stance Detection**Yingjie Li, Cornelia Caragea*2021 · 56 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-target-aware-data-augmentation-stance/)
234. [**Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection**Taha Shangipour ataei, Soroush Javdan, Behrouz Minaei-Bidgoli*2020 · 56 citations*](https://md.research.elamur.ai/free/en/papers/ataei-2020-applying-transformers-aspect-based-sentiment/)
235. [**Representing Social Media Users for Sarcasm Detection**Y. Alex Kolchinski, Christopher Potts*2018 · 54 citations*](https://md.research.elamur.ai/free/en/papers/kolchinski-2018-representing-social-media-users-sarcasm/)
236. [**When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues**Shivani Kumar, Atharva Kulkarni, Md Shad Akhtar, et al.*2022 · 51 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2022-when-did-you-become-so/)
237. [**DAICT: A Dialectal Arabic Irony Corpus Extracted from Twitter**Ines Abbes, Wajdi Zaghouani, Omaima El-Hardlo, et al.*2020 · 51 citations*](https://md.research.elamur.ai/free/en/papers/abbes-2020-daict-dialectal-arabic-irony-corpus/)
238. [**A Modular Architecture for Unsupervised Sarcasm Generation**Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan*2019 · 51 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2019-modular-architecture-unsupervised-sarcasm-generation/)
239. [**Exploring the Realization of Irony in Twitter Data**Cynthia Van Hee, Els Lefever, Véronique Hoste*2016 · 48 citations*](https://md.research.elamur.ai/free/en/papers/hee-2016-exploring-realization-irony-twitter-data/)
240. [**Exploring Author Context for Detecting Intended vs Perceived Sarcasm**Silviu Oprea, Walid Magdy*2019 · 47 citations*](https://md.research.elamur.ai/free/en/papers/oprea-2019-exploring-author-context-detecting-intended/)
241. [**Detecting Sarcasm in Conversation Context Using Transformer-Based Models**Adithya Avvaru, Sanath Vobilisetty, Radhika Mamidi*2020 · 46 citations*](https://md.research.elamur.ai/free/en/papers/avvaru-2020-detecting-sarcasm-conversation-context-transformer/)
242. [**Multilingual Stance Detection in Tweets: The Catalonia Independence Corpus**Elena Zotova, Rodrigo Agerri, Manuel Nuñez, et al.*2020 · 46 citations*](https://md.research.elamur.ai/free/en/papers/zotova-2020-multilingual-stance-detection-tweets-catalonia/)
243. [**How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text**Aditya Joshi, Pushpak Bhattacharyya, Mark Carman, et al.*2016 · 46 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-do-cultural-differences-impact/)
244. [**Mining Subjective Knowledge from Customer Reviews: A Specific Case of Irony Detection**Antonio Reyes, Paolo Rosso*2011 · 46 citations*](https://md.research.elamur.ai/free/en/papers/reyes-2011-mining-subjective-knowledge-customer-reviews/)
245. [**Annotating Sentiment and Irony in the Online Italian Political Debate on #labuonascuola**Marco Stranisci, Cristina Bosco, Delia Irazú Hernández Farías, et al.*2016 · 45 citations*](https://md.research.elamur.ai/free/en/papers/stranisci-2016-annotating-sentiment-irony-online-italian/)
246. [**What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability**Yaochen Liu, Yazhou Zhang, Qiuchi Li, et al.*2021 · 43 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-what-does-your-smile-mean/)
247. [**Modelling Irony in Twitter: Feature Analysis and Evaluation**Francesco Barbieri, Horacio Saggion*2014 · 42 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-irony-twitter-feature-analysis/)
248. [**EPIC: Multi-Perspective Annotation of a Corpus of Irony**Simona Frenda, Alessandro Pedrani, Valerio Basile, et al.*2023 · 41 citations*](https://md.research.elamur.ai/free/en/papers/frenda-2023-epic-multi-perspective-annotation-corpus/)
249. [**AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking**Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri, et al.*2021 · 41 citations*](https://md.research.elamur.ai/free/en/papers/alhindi-2021-arastance-multi-country-multi-domain/)
250. [**A Few Topical Tweets are Enough for Effective User Stance Detection**Younes Samih, Kareem Darwish*2021 · 40 citations*](https://md.research.elamur.ai/free/en/papers/samih-2021-few-topical-tweets-are-enough/)
251. [**Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew**Adam Amram, Anat Ben David, Reut Tsarfaty*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/amram-2018-representations-architectures-neural-sentiment-analysis/)
252. [**Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis**Bita Nejat, Giuseppe Carenini, Raymond Ng*2017 · 40 citations*](https://md.research.elamur.ai/free/en/papers/nejat-2017-exploring-joint-neural-model-sentence/)
253. [**Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation**Yingjie Li, Chenye Zhao, Cornelia Caragea*2021 · 39 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-improving-stance-detection-multi-dataset/)
254. [**ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset**Basma Alharbi, Hind Alamro, Manal Alshehri, et al.*2020 · 39 citations*](https://md.research.elamur.ai/free/en/papers/alharbi-2020-asad-twitter-based-benchmark-arabic/)
255. [**We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter**Cynthia Van Hee, Els Lefever, Véronique Hoste*2018 · 39 citations*](https://md.research.elamur.ai/free/en/papers/hee-2018-we-usually-don-t-like/)
256. [**WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony**Omid Rohanian, Shiva Taslimipoor, Richard Evans, et al.*2018 · 39 citations*](https://md.research.elamur.ai/free/en/papers/rohanian-2018-wlv-semeval-2018-task-3/)
257. [**C-Net: Contextual Network for Sarcasm Detection**Amit Kumar Jena, Aman Sinha, Rohit Agarwal*2020 · 38 citations*](https://md.research.elamur.ai/free/en/papers/jena-2020-c-net-contextual-network-sarcasm/)
258. [**Unsupervised stance detection for arguments from consequences**Jonathan Kobbe, Ioana Hulpuș, Heiner Stuckenschmidt*2020 · 38 citations*](https://md.research.elamur.ai/free/en/papers/kobbe-2020-unsupervised-stance-detection-arguments-consequences/)
259. [**Sarcasm Detection using Context Separators in Online Discourse**Tanvi Dadu, Kartikey Pant*2020 · 37 citations*](https://md.research.elamur.ai/free/en/papers/dadu-2020-sarcasm-detection-context-separators-online/)
260. [**Joint Inference and Disambiguation of Implicit Sentiments via Implicature Constraints**Lingjia Deng, Janyce Wiebe, Yoonjung Choi*2014 · 37 citations*](https://md.research.elamur.ai/free/en/papers/deng-2014-joint-inference-disambiguation-implicit-sentiments/)
261. [**Sarcasm and Sentiment Detection In Arabic Tweets Using BERT-based Models and Data Augmentation**Abeer Abuzayed, Hend Al-Khalifa*2021 · 36 citations*](https://md.research.elamur.ai/free/en/papers/abuzayed-2021-sarcasm-sentiment-detection-arabic-tweets/)
262. [**Reactive Supervision: A New Method for Collecting Sarcasm Data**Boaz Shmueli, Lun-Wei Ku, Soumya Ray*2020 · 36 citations*](https://md.research.elamur.ai/free/en/papers/shmueli-2020-reactive-supervision-new-method-collecting/)
263. [**Sentiment Analysis Dataset in Moroccan Dialect: Bridging the Gap Between Arabic and Latin Scripted dialect**Mouad Jbel, Mourad Jabrane, Imad Hafidi, et al.*2023 · 35 citations*](https://md.research.elamur.ai/free/en/papers/jbel-2023-sentiment-analysis-dataset-moroccan-dialect/)
264. [**A Multimodal Corpus for Emotion Recognition in Sarcasm**Anupama Ray, Shubham Mishra, Apoorva Nunna, et al.*2022 · 35 citations*](https://md.research.elamur.ai/free/en/papers/ray-2022-multimodal-corpus-emotion-recognition-sarcasm/)
265. [**MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision**Patrick Huber, Giuseppe Carenini*2020 · 35 citations*](https://md.research.elamur.ai/free/en/papers/huber-2020-mega-rst-discourse-treebanks-structure/)
266. [**Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media**Xiangjue Dong, Changmao Li, Jinho D. Choi*2020 · 35 citations*](https://md.research.elamur.ai/free/en/papers/dong-2020-transformer-based-context-aware-sarcasm/)
267. [**A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict**Yiyi Liu, Yequan Wang, Aixin Sun, et al.*2022 · 34 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-dual-channel-framework-sarcasm-recognition/)
268. [**Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis**Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar*2021 · 34 citations*](https://md.research.elamur.ai/free/en/papers/nassif-2021-empirical-evaluation-shallow-deep-learning/)
269. [**Transformers on Sarcasm Detection with Context**Amardeep Kumar, Vivek Anand*2020 · 34 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2020-transformers-sarcasm-detection-context/)
270. [**Breaking NLP: Using Morphosyntax, Semantics, Pragmatics and World Knowledge to Fool Sentiment Analysis Systems**Taylor Mahler, Willy Cheung, Micha Elsner, et al.*2017 · 34 citations*](https://md.research.elamur.ai/free/en/papers/mahler-2017-breaking-nlp-morphosyntax-semantics-pragmatics/)
271. [**Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?**Ben Yao, Yazhou Zhang, Qiuchi Li, et al.*2024 · 33 citations*](https://md.research.elamur.ai/free/en/papers/yao-2024-sarcasm-detection-step-step-reasoning/)
272. [**Chinese Irony Corpus Construction and Ironic Structure Analysis**Yi-jie Tang, Hsin-Hsi Chen*2014 · 33 citations*](https://md.research.elamur.ai/free/en/papers/tang-2014-chinese-irony-corpus-construction-ironic/)
273. [**OpenStance: Real-world Zero-shot Stance Detection**Hanzi Xu, Slobodan Vucetic, Wenpeng Yin*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/xu-2022-openstance-real-world-zero-shot/)
274. [**Neural Sarcasm Detection using Conversation Context**Nikhil Jaiswal*2020 · 32 citations*](https://md.research.elamur.ai/free/en/papers/jaiswal-2020-neural-sarcasm-detection-conversation-context/)
275. [**A Multi-Task Learning Framework for Multi-Target Stance Detection**Yingjie Li, Cornelia Caragea*2021 · 31 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-multi-task-learning-framework-multi/)
276. [**Sarcasm Identification and Detection in Conversion Context using BERT**Kalaivani A., Thenmozhi D.*2020 · 31 citations*](https://md.research.elamur.ai/free/en/papers/a-2020-sarcasm-identification-detection-conversion-context/)
277. [**C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection**Chenye Zhao, Yingjie Li, Cornelia Caragea*2023 · 30 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-c-stance-large-dataset-chinese/)
278. [**Exploiting Sentiment and Common Sense for Zero-shot Stance Detection**Yun Luo, Zihan Liu, Yuefeng Shi, et al.*2022 · 30 citations*](https://md.research.elamur.ai/free/en/papers/luo-2022-exploiting-sentiment-common-sense-zero/)
279. [**Human Rationales as Attribution Priors for Explainable Stance Detection**Sahil Jayaram, Emily Allaway*2021 · 30 citations*](https://md.research.elamur.ai/free/en/papers/jayaram-2021-human-rationales-as-attribution-priors/)
280. [**Really? Well. Apparently Bootstrapping Improves the Performance of Sarcasm and Nastiness Classifiers for Online Dialogue**Stephanie Lukin, Marilyn Walker*2013 · 30 citations*](https://md.research.elamur.ai/free/en/papers/lukin-2013-really-well-apparently-bootstrapping-improves/)
281. [**A deep-learning framework to detect sarcasm targets**Jasabanta Patro, Srijan Bansal, Animesh Mukherjee*2019 · 29 citations*](https://md.research.elamur.ai/free/en/papers/patro-2019-deep-learning-framework-detect-sarcasm/)
282. [**“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text**Abhijeet Dubey, Lakshya Kumar, Arpan Somani, et al.*2019 · 29 citations*](https://md.research.elamur.ai/free/en/papers/dubey-2019-when-numbers-matter-detecting-sarcasm/)
283. [**Multi-modal Stance Detection: New Datasets and Model**Bin Liang, Ang Li, Jingqian Zhao, et al.*2024 · 28 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-multi-modal-stance-detection-new/)
284. [**MultiPICo: Multilingual Perspectivist Irony Corpus**Silvia Casola, Simona Frenda, Soda Marem Lo, et al.*2024 · 28 citations*](https://md.research.elamur.ai/free/en/papers/casola-2024-multipico-multilingual-perspectivist-irony-corpus/)
285. [**Chain-of-Thought Embeddings for Stance Detection on Social Media**Joseph Gatto, Omar Sharif, Sarah M. Preum*2023 · 28 citations*](https://md.research.elamur.ai/free/en/papers/gatto-2023-chain-thought-embeddings-stance-detection/)
286. [**Multimodal Sarcasm Target Identification in Tweets**Jiquan Wang, Lin Sun, Yi Liu, et al.*2022 · 28 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-multimodal-sarcasm-target-identification-tweets/)
287. [**Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks**Jimin Sun, Hwijeen Ahn, Chan Young Park, et al.*2021 · 28 citations*](https://md.research.elamur.ai/free/en/papers/sun-2021-cross-cultural-similarity-features-cross/)
288. [**NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets**Harsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh*2018 · 28 citations*](https://md.research.elamur.ai/free/en/papers/rangwani-2018-nlprl-iitbhu-semeval-2018-task/)
289. [**Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context**Hankyol Lee, Youngjae Yu, Gunhee Kim*2020 · 27 citations*](https://md.research.elamur.ai/free/en/papers/lee-2020-augmenting-data-sarcasm-detection-unlabeled/)
290. [**Code-Switching Patterns Can Be an Effective Route to Improve Performance of Downstream NLP Applications: A Case Study of Humour, Sarcasm and Hate Speech Detection**Srijan Bansal, Vishal Garimella, Ayush Suhane, et al.*2020 · 27 citations*](https://md.research.elamur.ai/free/en/papers/bansal-2020-code-switching-patterns-can-be/)
291. [**A Comparative Study of Feature Selection Methods for Dialectal Arabic Sentiment Classification Using Support Vector Machine**Omar Al-Harbi*2019 · 27 citations*](https://md.research.elamur.ai/free/en/papers/al-harbi-2019-comparative-study-feature-selection-methods/)
292. [**Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation**Liqiang Jing, Xuemeng Song, Kun Ouyang, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/jing-2023-multi-source-semantic-graph-based/)
293. [**Zero-Shot and Few-Shot Stance Detection on Varied Topics via Conditional Generation**Haoyang Wen, Alexander Hauptmann*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/wen-2023-zero-shot-few-shot-stance/)
294. [**Generative Data Augmentation with Contrastive Learning for Zero-Shot Stance Detection**Yang Li, Jiawei Yuan*2022 · 26 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-generative-data-augmentation-contrastive-learning/)
295. [**Arabic Offensive Language Detection Using Machine Learning and Ensemble Machine Learning Approaches**Fatemah Husain*2020 · 26 citations*](https://md.research.elamur.ai/free/en/papers/husain-2020-arabic-offensive-language-detection-using/)
296. [**A New Direction in Stance Detection: Target-Stance Extraction in the Wild**Yingjie Li, Krishna Garg, Cornelia Caragea*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-new-direction-stance-detection-target/)
297. [**Machine Learning-Based Model for Sentiment and Sarcasm Detection**Hamada Nayel, Eslam Amer, Aya Allam, et al.*2021 · 25 citations*](https://md.research.elamur.ai/free/en/papers/nayel-2021-machine-learning-based-model-sentiment/)
298. [**Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions**Jingye Li, Hao Fei, Donghong Ji*2020 · 25 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-modeling-local-contexts-joint-dialogue/)
299. [**Prompt Tuning with Contradictory Intentions for Sarcasm Recognition**Yiyi Liu, Ruqing Zhang, Yixing Fan, et al.*2023 · 24 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-prompt-tuning-contradictory-intentions-sarcasm/)
300. [**A New Amharic Speech Emotion Dataset and Classification Benchmark**Ephrem A. Retta, Eiad Almekhlafi, Richard Sutcliffe, et al.*2022 · 23 citations*](https://md.research.elamur.ai/free/en/papers/retta-2022-new-amharic-speech-emotion-dataset/)
301. [**Getting Reliable Annotations for Sarcasm in Online Dialogues**Reid Swanson, Stephanie Lukin, Luke Eisenberg, et al.*2014 · 23 citations*](https://md.research.elamur.ai/free/en/papers/swanson-2014-getting-reliable-annotations-sarcasm-online/)
302. [**Generalizable Sarcasm Detection is Just Around the Corner, of Course!**Hyewon Jang, Diego Frassinelli*2024 · 22 citations*](https://md.research.elamur.ai/free/en/papers/jang-2024-generalizable-sarcasm-detection-is-just/)
303. [**Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language**Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.*2021 · 22 citations*](https://md.research.elamur.ai/free/en/papers/mahdaouy-2021-deep-multi-task-model-sarcasm/)
304. [**STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2020 · 22 citations*](https://md.research.elamur.ai/free/en/papers/conforti-2020-stander-expert-annotated-dataset-news/)
305. [**TUNIZI: a Tunisian Arabizi sentiment analysis Dataset**Chayma Fourati, Abir Messaoudi, Hatem Haddad*2020 · 22 citations*](https://md.research.elamur.ai/free/en/papers/fourati-2020-tunizi-tunisian-arabizi-sentiment-analysis/)
306. [**StanceEval 2024: The First Arabic Stance Detection Shared Task**Nora Alturayeif, Hamzah Luqman, Zaid Alyafeai, et al.*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/alturayeif-2024-stanceeval-2024-first-arabic-stance/)
307. [**Is Stance Detection Topic-Independent and Cross-topic Generalizable? - A Reproduction Study**Myrthe Reuver, Suzan Verberne, Roser Morante, et al.*2021 · 21 citations*](https://md.research.elamur.ai/free/en/papers/reuver-2021-is-stance-detection-topic-independent/)
308. [**Multilingual Irony Detection with Dependency Syntax and Neural Models**Alessandra Teresa Cignarella, Valerio Basile, Manuela Sanguinetti, et al.*2020 · 21 citations*](https://md.research.elamur.ai/free/en/papers/cignarella-2020-multilingual-irony-detection-dependency-syntax/)
309. [**CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models**Zixin Chen, Hongzhan Lin, Ziyang Luo, et al.*2024 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-cofipara-coarse-fine-paradigm-multimodal/)
310. [**Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis**Daniela Teodorescu, Saif Mohammad*2023 · 20 citations*](https://md.research.elamur.ai/free/en/papers/teodorescu-2023-evaluating-emotion-arcs-across-languages/)
311. [**Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection**Erik Arakelyan, Arnav Arora, Isabelle Augenstein*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/arakelyan-2023-topic-guided-sampling-data-efficient/)
312. [**Offensive Language Detection in Under-resourced Algerian Dialectal Arabic Language**Oussama Boucherit, Kheireddine Abainia*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/boucherit-2022-offensive-language-detection-under-resourced/)
313. [**Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model**Abrar Alotaibi, Atta-ur Rahman, Raheel Alhaza, et al.*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/alotaibi-2026-spam-sentiment-detection-arabic-tweets/)
314. [**Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic**Fatemah Husain, Ozlem Uzuner*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/husain-2021-leveraging-offensive-language-sarcasm-sentiment/)
315. [**Application and Analysis of a Multi-layered Scheme for Irony on the Italian Twitter Corpus TWITTIRÒ**Alessandra Teresa Cignarella, Cristina Bosco, Viviana Patti, et al.*2018 · 19 citations*](https://md.research.elamur.ai/free/en/papers/cignarella-2018-application-analysis-multi-layered-scheme/)
316. [**The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation**Tyler Loakman, Aaron Maladry, Chenghua Lin*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/loakman-2023-iron-ic-melting-pot-reviewing/)
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