Detection of Terrorisms Apologies on Twitter using a New Bi-lingual Dataset

IF 0.4 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Data Mining Modelling and Management Pub Date : 2023-01-01 DOI:10.1504/ijdmmm.2023.10051983

K. Bedjou, F. Azouaou

引用次数: 0

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使用新的双语数据集检测Twitter上的恐怖主义道歉

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来源期刊

International Journal of Data Mining Modelling and Management COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

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1.10

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0.00%

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期刊介绍： Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information, but with limited real usable knowledge. However, rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining, modelling and management (DMMM) should be connected. IJDMMM highlightes integration of DMMM, statistics/machine learning/databases, each element of data chain management, types of information, algorithms in software; from data pre-processing to post-processing; between theory and applications. Topics covered include: -Artificial intelligence- Biomedical science- Business analytics/intelligence, process modelling- Computer science, database management systems- Data management, mining, modelling, warehousing- Engineering- Environmental science, environment (ecoinformatics)- Information systems/technology, telecommunications/networking- Management science, operations research, mathematics/statistics- Social sciences- Business/economics, (computational) finance- Healthcare, medicine, pharmaceuticals- (Computational) chemistry, biology (bioinformatics)- Sustainable mobility systems, intelligent transportation systems- National security

Detection of Terrorisms Apologies on Twitter using a New Bi-lingual Dataset

Detection of Terrorisms Apologies on Twitter using a New Bi-lingual Dataset