Data Analytics for Social Microblogging Platforms

Title

Data Analytics for Social Microblogging Platforms

Creator

Dutta S.; Das A.K.; Ghosh S.; Samanta D.

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. 2023 Elsevier Inc. All rights reserved.

Source

Data Analytics for Social Microblogging Platforms, pp. 1-303.

Date

2022-01-01

Publisher

Elsevier

Coverage

Dutta S., Department of Computer Application and Science, Institute of Engineering & Management (IEM), Kolkata, India; Das A.K., Department of Computer Science and Technology, IIEST Shibpur, Howrah, India; Ghosh S., Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India; Samanta D., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-032391785-8; 978-032397230-7

Format

Online

Language

English

Type

Book

Identifier

https://doi.org/10.1016/C2021-0-01247-5

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150133201&doi=10.1016%2fC2021-0-01247-5&partnerID=40&md5=327f15e3112535f51fdad46a4e97e42f