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Detecting influencers in social media using information from their followers.

, , и . Proces. del Leng. Natural, (2020)

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Deep-Learning Approach to Educational Text Mining and Application to the Analysis of Topics' Difficulty., , , и . IEEE Access, (2020)A semantic graph-based approach to biomedical summarisation., , и . Artif. Intell. Medicine, 53 (1): 1-14 (2011)Detecting influencers in social media using information from their followers., , и . Proces. del Leng. Natural, (2020)Resolving ambiguity in biomedical text to improve summarization, , и . Information Processing & Management, 48 (4): 755 - 766 (2012)Combining Transformer Based Language Models with Socio-demographic Information for Improving Sexism Detection in Social Media., , и . CLEF (Working Notes), том 3497 из CEUR Workshop Proceedings, стр. 1024-1036. CEUR-WS.org, (2023)An Emotion Dimensional Model Based on Social Tags: Crossing Folksonomies and Enhancing Recommendations., , и . EC-Web, том 152 из Lecture Notes in Business Information Processing, стр. 88-100. Springer, (2013)A Multi-Task and Multilingual Model for Sexism Identification in Social Networks., , и . IberLEF@SEPLN, том 2943 из CEUR Workshop Proceedings, стр. 458-468. CEUR-WS.org, (2021)A genetic graph-based clustering approach to biomedical summarization., , и . WIMS, стр. 10. ACM, (2013)Overview of EXIST 2023: sEXism Identification in Social NeTworks., , , , , , и . ECIR (3), том 13982 из Lecture Notes in Computer Science, стр. 593-599. Springer, (2023)Hierarchical Modeling for Propaganda Detection: Leveraging Media Bias and Propaganda Detection Datasets., , и . IberLEF@SEPLN, том 3496 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)