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Data analytics for social microblogging platforms / Soumi Dutta, [and 3 others].

By: Contributor(s): Material type: TextTextSeries: Hybrid computational intelligence for pattern analysis and understanding seriesPublisher: London, United Kingdom ; San Diego, California : Academic Press, an imprint of Elsevier, 2023Description: xxiii, 303 pages ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780323917858
Subject(s): Additional physical formats: ebook version :: No titleDDC classification:
  • 006.752 D954d 23
LOC classification:
  • HM742 .D876 2023
Contents:
Part 1. Introduction of intelligent information filtering and organization systems for social microblogging sites -- Introduction to microblogging sites -- Literature review on data analytics for social microblogging platforms -- Data collection using twitter API -- Part 2. Microblogging dataset applications and implications -- Attribute selection to improve spam classification -- Ensemble summarization algorithms for microblog summarization -- Graph-based clustering technique for microblog clustering -- Genetic algorithm-based microblog clustering technique -- Part 3. Attribute selection to improve spam classification -- Feature selection-based microblog clustering technique -- Dimensionality reduction techniques in microblog clustering models -- Conclusion and future directions.
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Includes bibliographical references and index.

Part 1. Introduction of intelligent information filtering and organization systems for social microblogging sites -- Introduction to microblogging sites -- Literature review on data analytics for social microblogging platforms -- Data collection using twitter API -- Part 2. Microblogging dataset applications and implications -- Attribute selection to improve spam classification -- Ensemble summarization algorithms for microblog summarization -- Graph-based clustering technique for microblog clustering -- Genetic algorithm-based microblog clustering technique -- Part 3. Attribute selection to improve spam classification -- Feature selection-based microblog clustering technique -- Dimensionality reduction techniques in microblog clustering models -- Conclusion and future directions.

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