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Machine Learning Techniques for Text

You're reading from Machine Learning Techniques for Text Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation

Product type Paperback

Published in Oct 2022

Publisher Packt

ISBN-13 9781803242385

Length 448 pages

Edition 1st Edition

Languages

Python

Concepts

Machine Learning

Author (1):

Nikos Tsourakis

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Table of Contents (13) Chapters

Preface

1. Chapter 1: Introducing Machine Learning for Text

2. Chapter 2: Detecting Spam Emails FREE CHAPTER

3. Chapter 3: Classifying Topics of Newsgroup Posts

4. Chapter 4: Extracting Sentiments from Product Reviews

5. Chapter 5: Recommending Music Titles

6. Chapter 6: Teaching Machines to Translate

7. Chapter 7: Summarizing Wikipedia Articles

8. Chapter 8: Detecting Hateful and Offensive Language

9. Chapter 9: Generating Text in Chatbots

10. Chapter 10: Clustering Speech-to-Text Transcriptions

11. Index

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12. Other Books You May Enjoy

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Authors (1)

Nikos Tsourakis

Nikos Tsourakis

Nikos Tsourakis is a professor of computer science and business analytics at the International Institute in Geneva, Switzerland, and a research associate at the University of Geneva. He has over 20 years of experience designing, building, and evaluating intelligent systems using speech and language technologies. He has also co-authored over 50 research publications in the area. In the past, he worked as a software engineer, developing products for major telecommunication vendors. He also served as an expert for the European Commission and is currently a certified educator at the Amazon Web Services Academy. He holds a degree in electronic and computer engineering, a master's in management, and a PhD in multilingual information processing.

See other products by Nikos Tsourakis