Data Analytics for Social Microblogging Platforms

Data Analytics for Social Microblogging Platforms book cover

Data Analytics for Social Microblogging Platforms

Author(s): Dutta (Author), Das (Author), Ghosh (Author), Samanta (Author)

  • Publisher: Academic Press
  • Publication Date: 9 Nov. 2022
  • Edition: 1st
  • Language: English
  • Print length: 328 pages
  • ISBN-10: 0323917852
  • ISBN-13: 9780323917858

Book Description

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.

  • Investigates various methodologies and algorithms for data summarization, clustering and classification
  • Covers both theory and practical applications from around the world, across all related disciplines of Intelligent Information Filtering and Organization Systems
  • Explores different challenges and issues related to spam filtering, attribute selection, and classification for large datasets

Editorial Reviews

Review

Provides advanced coverage of social media data engineering

From the Back Cover

Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets and 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 will focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data to address the most innovative developments, as well as research issues and solutions in massive data computations and their applications.

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