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Data Analytics for Social Microblogging Platforms

Data Analytics for Social Microblogging Platforms

Soumi Dutta, Asit Kumar Das, Saptarshi Ghosh, Debabrata Samanta
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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.
Year:
2022
Publisher:
Academic Press
Language:
english
Pages:
300
ISBN 10:
0323917852
ISBN 13:
9780323917858
Series:
Hybrid Computational Intelligence for Pattern Analysis and Understanding
File:
PDF, 6.04 MB
IPFS:
CID , CID Blake2b
english, 2022
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