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Identifying active, reactive, and inactive targets of socialbots in Twitter.

, and . WI, page 573-580. ACM, (2017)

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Using Part-of-Speech Patterns and Domain Ontology to Mine Imprecise Concepts from Text Documents., and . iiWAS, volume 183 of books@ocg.at, Austrian Computer Society, (2004)Namesake alias mining on the Web and its role towards suspect tracking., and . Inf. Sci., (2014)CAMO: A context-aware movie ontology generated from LOD and movie databases., and . Multim. Tools Appl., 80 (5): 7247-7269 (2021)Compact Residual Learning with Frequency-Based Non-Square Kernels for Small Footprint Keyword Spotting., and . ICON, page 328-336. Association for Computational Linguistics, (2022)Relation Extraction from Texts for Efficient Access to InformationApplication to Bio-Medical Text Processing., , and . IICAI, page 1719-1737. IICAI, (2007)Fuzzy ontologies for handling uncertainties and inconsistencies in domain knowledge description., and . FUZZ-IEEE, page 1366-1373. IEEE, (2008)Mining feature-opinion pairs and their reliability scores from web opinion sources., , and . WIMS, page 15:1-15:7. ACM, (2012)An Unseen Features-Enriched Lifelong Machine Learning Framework., and . ICCSA (2), volume 13957 of Lecture Notes in Computer Science, page 471-481. Springer, (2023)Identifying cliques in dark web forums - An agglomerative clustering approach., and . ISI, page 171-173. IEEE, (2012)Web content mining for alias identification: A first step towards suspect tracking., , and . ISI, page 195-197. IEEE, (2011)