--- title: "Who cites A Deeper Look into Sarcastic Tweets Using Deep…" description: "39 papers of the Elamur Research library cite «A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks», found in their…" canonical: "https://research.elamur.ai/free/en/papers/poria-2016-deeper-look-into-sarcastic-tweets/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/poria-2016-deeper-look-into-sarcastic-tweets/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Deeper Look into Sarcastic Tweets Using Deep…](https://md.research.elamur.ai/free/en/papers/poria-2016-deeper-look-into-sarcastic-tweets/) / cited by # Who cites «A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks» 39 papers of our library cite it (of the 140,884 whose bibliographies we read) · 16 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/poria-2016-deeper-look-into-sarcastic-tweets/) 1. [**Context-Dependent Sentiment Analysis in User-Generated Videos**Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al.*2017 · 1,019 citations*](https://md.research.elamur.ai/free/en/papers/poria-2017-context-dependent-sentiment-analysis-user/) 2. [**Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos**Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, et al.*2018 · 539 citations*](https://md.research.elamur.ai/free/en/papers/hazarika-2018-conversational-memory-network-emotion-recognition/) 3. [**Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model**Yitao Cai, Huiyu Cai, Xiaojun Wan*2019 · 450 citations*](https://md.research.elamur.ai/free/en/papers/cai-2019-multi-modal-sarcasm-detection-twitter/) 4. [**Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)**Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.*2019 · 313 citations*](https://md.research.elamur.ai/free/en/papers/castro-2019-towards-multimodal-sarcasm-detection-obviously/) 5. [**Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association**Nan Xu, Zhixiong Zeng, Wenji Mao*2020 · 206 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-reasoning-multimodal-sarcastic-tweets-modeling/) 6. [**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/) 7. [**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/) 8. [**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/) 9. [**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/) 10. [**MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System**Libo Qin, Shijue Huang, Qiguang Chen, et al.*2023 · 65 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-mmsd2-0-reliable-multi-modal/) 11. [**Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data**Xinyu Wang, Xiaowen Sun, Tan Yang, et al.*2020 · 62 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-building-bridge-method-image-text/) 12. [**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/) 13. [**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/) 14. [**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/) 15. [**“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/) 16. [**How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 10 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-challenging-is-sarcasm-versus/) 23 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/poria-2016-deeper-look-into-sarcastic-tweets/) — A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks