Cover for Data Analytics for Social Microblogging Platforms

Data Analytics for Social Microblogging Platforms

A volume in Hybrid Computational Intelligence for Pattern Analysis

Book2023

Authors:

Soumi Dutta, Asit Kumar Das, ... Debabrata Samanta

Data Analytics for Social Microblogging Platforms

A volume in Hybrid Computational Intelligence for Pattern Analysis

Book2023

 

Cover for Data Analytics for Social Microblogging Platforms

Authors:

Soumi Dutta, Asit Kumar Das, ... Debabrata Samanta

About the book

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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 c ... read full description

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    Index

    Pages 297-303

About the 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.

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.

Key Features

  • 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
  • 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

Details

ISBN

978-0-323-91785-8

Language

English

Published

2023

Copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Imprint

Academic Press

Authors

Soumi Dutta

Department of Computer Application and Science, Institute of Engineering & Management (IEM), Kolkata, India

Asit Kumar Das

Department of Computer Science and Technology, IIEST Shibpur, Howrah, India

Saptarshi Ghosh

Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, Kharagpur, India

Debabrata Samanta

Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India