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QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs., and . CoRR, (2020)Introducción a la tarea compartida Tweet-Norm 2013: Normalización léxica de tuits en español, , , , , , , and . Workshop on Tweet Normalization at SEPLN (Tweet-Norm), page 36--45. (2013)Reorganizing clouds: A study on tag clustering and evaluation., , , and . Expert Syst. Appl., 39 (10): 9483-9493 (2012)Threatening Language Detection and Target Identification in Urdu Tweets., , , , , and . IEEE Access, (2021)Abusive language detection in youtube comments leveraging replies as conversational context., , and . PeerJ Comput. Sci., (2021)Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions., and . CoRR, (2021)Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance., , , , , , , , , and 9 other author(s). CLEF, volume 14163 of Lecture Notes in Computer Science, page 440-458. Springer, (2023)QMUL-SDS at CheckThat! 2021: Enriching Pre-Trained Language Models for the Estimation of Check-Worthiness of Arabic Tweets., and . CLEF (Working Notes), volume 2936 of CEUR Workshop Proceedings, page 424-429. CEUR-WS.org, (2021)Newsworthiness and Network Gatekeeping on Twitter: The Role of Social Deviance., and . ICWSM, The AAAI Press, (2014)Content-Based Clustering for Tag Cloud Visualization., , , and . ASONAM, page 316-319. IEEE Computer Society, (2009)