£130.99

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Elsevier Academic Press Data Analytics for Social Microblogging Platforms

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Description

Data Analysis for Social Microblogging Platforms by Academic Press provides a deep look into the nature of microblog datasets. This book covers the broad field of information, data, and knowledge within the context of natural language processing. It is designed for data and computer scientists looking to master computational techniques for pattern recognition in vast datasets. The text investigates several essential methods including machine learning, data mining algorithms, and evolutionary computations. Readers can explore specialized topics such as rough set and fuzzy set theory, combinatorial pattern matching, clustering, summarization, and classification. By focusing on basic online microblogging environments, this resource helps professionals understand the complex patterns found in modern social media data.

Key Features

Academic Press provides a comprehensive study of microblog datasets and natural language processing.

The book covers machine learning and data mining algorithms to help recognize patterns in large datasets.

Learn about computational techniques like rough set theory and fuzzy set theory for data analysis.

Explore evolutionary computations and combinatorial pattern matching for advanced pattern analysis.

Gain knowledge in clustering, summarization, and classification methods for social media data.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 November 2022
Listed Since
25 January 2022

Barcode

No barcode data available

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