Book
Machine Learning for Text
ISBN : 9783030966256
Author : Charu C. Aggarwal
Publisher : Springer
Year : 2022
Language : English
Type : Book
Description : This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning methods. The chapters of this book span three broad categories:1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis.
RECOMMENDED BOOKS
Total Lawfare : New Defense and Lessons from China's Unrestricted Lawfare Program
Patrick S. Nash
Managing Brand Transgressions: 8 Principles to Transform Your Brand
Shailendra Pratap Jain
Content Production for Digital Media: An Introduction
Jay Daniel Thompson
Superpower Europe: The European Union's Silent Revolution
Marc De Vos
Information Technology and Organizational Learning : Managing Behavioral Change in the Digital Age
Arthur M. Langer
Public Sociology: An Introduction to Australian Society
John Germov
Coding with AI For Dummies
Chris Minnick
An Introductory Handbook of Bayesian Thinking
Stephen C. Loftus