Automated Taxonomy Discovery and Exploration

Name: Automated Taxonomy Discovery and Exploration
Brand: Springer, Berlin
SKU: 9783031114045
Price: 232.96 PLN
Availability: InStock

Autor: Jiaming Shen, Jiawei Han

Język:

Oprawa: Twarda

Wydawca: Springer, Berlin

Dostępność: Dostępna u dostawcy

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This book provides a principled data-driven framework that progressively constructs, enriches, and a...

Informacje o książce

Autor

Jiaming Shen, Jiawei Han

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2022

strony

103

EAN

9783031114045

Enbook ID

39336003

Wydawca

Springer, Berlin

Waga

385

Wymiary

168 x 240 x 13

Pełny opis

This book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, which is time-consuming and costly. In today's information era, people are inundated with the vast amounts of text data. Despite their usefulness, people haven't yet exploited the full power of taxonomies due to the heavy curation needed for creating and maintaining them. To bridge this gap, the authors discuss automated taxonomy discovery and exploration, with an emphasis on label-efficient machine learning methods and their real-world usages. Taxonomy organizes entities and concepts in a hierarchy way. It is ubiquitous in our daily life, ranging from product taxonomies used by online retailers, topic taxonomies deployed by news outlets and social media, as well as scientific taxonomies deployed by digital libraries across various domains. When properly analyzed, these taxonomies can play a vital role for science, engineering, business intelligence, policy design, e-commerce, and more. Intuitive examples are used throughout enabling readers to grasp concepts more easily.

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