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.
Author(s): Soumi Dutta & Asit Kumar Das & Saptarshi Ghosh & Debabrata Samanta
Series Name: Hybrid Computational Intelligence for Pattern Analysis and Understanding
Description
Book Synopsis
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.
Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W) x .69 Inches (D)
Weight: .97 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 328
Genre: Computers + Internet
Sub-Genre: Intelligence (AI) & Semantics
Series Title: Hybrid Computational Intelligence for Pattern Analysis and Understanding
Publisher: Academic Press
Format: Paperback
Author: Soumi Dutta & Asit Kumar Das & Saptarshi Ghosh & Debabrata Samanta
Language: English
Street Date: November 9, 2022
TCIN: 1010057245
UPC: 9780323917858
Item Number (DPCI): 247-57-6647
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.69 inches length x 6 inches width x 9 inches height
Estimated ship weight: 0.97 pounds
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