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Modelling Irony in Twitter: Feature Analysis and Evaluation., and . LREC, page 4258-4264. European Language Resources Association (ELRA), (2014)Do We Criticise (and Laugh) in the Same Way? Automatic Detection of Multi-Lingual Satirical News in Twitter., , and . IJCAI, page 1215-1221. AAAI Press, (2015)Towards a Multimodal Time-Based Empathy Prediction System., , , , , and . FG, page 1-5. IEEE, (2019)Exploring Emoji Usage and Prediction Through a Temporal Variation Lens., , , , and . CoRR, (2018)Context-Aware Prediction of User Engagement on Online Social Platforms., , , , , and . CoRR, (2023)On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning., , , , , and . NAACL-HLT, page 3770-3783. Association for Computational Linguistics, (2021)Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat., , , , , , , , and . CoRR, (2023)Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges., , , , , and . IEEE Trans. Affect. Comput., 12 (2): 466-478 (2021)TheRiddlerBot: A next step on the ladder towards creative Twitter bots., , , , and . ICCC, page 315-322. computationalcreativity.net, (2015)Shared Task on Stance and Gender Detection in Tweets on Catalan Independence - LaSTUS System Description.. IberEval@SEPLN, volume 1881 of CEUR Workshop Proceedings, page 217-221. CEUR-WS.org, (2017)