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An Approach for Detecting Dangerous Events from Online Text Using Transformers.

, , , , and . WI/IAT, page 256-262. IEEE, (2023)

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SocialNetCrawler: Online Social Network Crawler., , , and . MEDES, page 16-22. ACM, (2019)Unsupervised Approach to Detect Extreme Sentiments on Social Networks., , , and . ASONAM, page 651-658. IEEE, (2020)Detection of extreme sentiments on social networks with BERT., , , and . Soc. Netw. Anal. Min., 12 (1): 55 (2022)Understanding Massive Text Visualization., , , and . ASONAM, page 706-711. ACM, (2023)Exploring the Role of Artificial Intelligence in Mental Health., , , , , , and . ICDM (Workshops), page 1289-1298. IEEE, (2023)A Comparative Study of Linguistic and Computational Features Based on a Machine Learning for Arabic Anaphora Resolution., , , and . ACLING, volume 189 of Procedia Computer Science, page 37-47. Elsevier, (2021)Improving Mental Disorder Predictions using Feature-Based Machine Learning Techninques., , , , , and . ICDM (Workshops), page 1279-1288. IEEE, (2023)Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations., , , , , , and . ACM Multimedia, page 4406-4415. ACM, (2022)Detection of Dangerous Events on Social Media: A Perspective Review., , and . CoRR, (2022)Asymmetric Attributional Word Similarity Measures to Detect the Relations of Textual Generality., and . Comput., 9 (4): 81 (2020)