Automated Taxonomy Discovery and Exploration

Name: Automated Taxonomy Discovery and Exploration
Brand: Springer, Berlin
SKU: 9783031114045
Price: 53.96 EUR
Availability: InStock

Автор: Jiaming Shen, Jiawei Han

Език:

Корици: С твърди корици

Издател: Springer, Berlin

Наличност: Външен склад

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53.96 € 105.53 лв

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

Информация за книгата

Автор

Jiaming Shen, Jiawei Han

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2022

страници

103

EAN

9783031114045

Enbook ID

39336003

Издател

Springer, Berlin

Теглоt

385

Размери

168 x 240 x 13

Пълно описание

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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