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{ "item_title" : "Data Analytics for Social Microblogging Platforms", "item_author" : [" Soumi Dutta", "Asit Kumar Das", "Saptarshi Ghosh "], "item_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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/32/391/785/0323917852_b.jpg", "price_data" : { "retail_price" : "170.00", "online_price" : "170.00", "our_price" : "170.00", "club_price" : "170.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Analytics for Social Microblogging Platforms|Soumi Dutta

Data Analytics for Social Microblogging Platforms

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Overview

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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Details

  • ISBN-13: 9780323917858
  • ISBN-10: 0323917852
  • Publisher: Academic Press
  • Publish Date: November 2022
  • Dimensions: 9 x 6 x 0.69 inches
  • Shipping Weight: 0.97 pounds
  • Page Count: 328

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