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Springer Social Media Analysis for Event Detection Book

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Description

Explore effective and efficient approaches to social media analysis with this academic resource from Springer. Part of the Lecture Notes in Social Networks series, this book examines how machine learning techniques, ranging from clustering to deep learning, can be used to handle various aspects of social media data. As social media platforms continue to reshape global communication and interaction, understanding the data they generate becomes essential. This text covers a variety of theoretical aspects, application domains, and case studies. These real-world examples demonstrate how to maximize the benefits of postings on social media platforms through advanced technical methods.

Key Features

This Springer publication covers machine learning techniques used for social media analysis, including clustering and deep learning methods.

The book includes diverse case studies and application domains to demonstrate how to maximize benefits from social media postings.

Part of the Lecture Notes in Social Networks series, providing theoretical aspects of social media analysis.

Explore how social media platforms have reshaped communication and interaction through various technical approaches.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
21 October 2023
Listed Since
24 September 2023

Barcode

No barcode data available

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