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Data Analysis for Social Microblogging Platforms explores the
nature of microblog datasets, also covering the larger field which
focuses on information, data and knowledge in the context of
natural language processing. The book investigates a range of
significant computational techniques which enable data and computer
scientists to recognize patterns in these vast datasets, including
machine learning, data mining algorithms, rough set and fuzzy set
theory, evolutionary computations, combinatorial pattern matching,
clustering, summarization and classification. Chapters focus on
basic online micro blogging data analysis research methodologies,
community detection, summarization application development,
performance evaluation and their applications in big data.
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