£111.99

Academic Press Data Analytics for Social Microblogging Platforms

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Description

Explore the complex landscape of microblog datasets with this comprehensive guide from Academic Press. Data Analysis for Social Microblogging Platforms provides a deep look into the nature of microblog datasets and the broader field of information, data, and knowledge within natural language processing. This book offers a technical examination of computational techniques designed to help data and computer scientists recognize patterns within vast datasets. It covers a wide array of methodologies, including machine learning, data mining algorithms, and evolutionary computations. Readers will learn about the application of rough set and fuzzy set theory, combinatorial pattern matching, and clustering to better understand social media information. By focusing on practical computational intelligence for pattern analysis, this text serves as a resource for understanding summarization and classification within the context of modern social platforms. It is a specialized resource for those studying the intersection of computer science, AI, and machine learning.

Key Features

Investigates the nature of microblog datasets and their role in the field of natural language processing.

Covers advanced computational techniques including machine learning and data mining algorithms for pattern recognition.

Explores specialized mathematical approaches such as rough set theory and fuzzy set theory.

Provides insights into evolutionary computations and combinatorial pattern matching for large-scale data.

Examines essential data science methods like clustering, summarization, and classification techniques.

Offers a technical look at hybrid computational intelligence for analyzing vast social media datasets.

Product Specifications

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

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