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You're reading from  Machine Learning Techniques for Text

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Published inOct 2022
PublisherPackt
ISBN-139781803242385
Edition1st Edition
Concepts
Mobile Application Development
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Author (1)
Nikos Tsourakis
Nikos Tsourakis
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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.
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To get the most out of this book

You will need a version of Python installed on your computer—the latest version, if possible. All code examples have been tested using Python 3.10 on Windows. However, they should work with future version releases too.

Software/hardware covered in the book

Operating system requirements

Python 3.10

Windows, macOS, or Linux

Microsoft C++ Build Tools

Windows

The Python examples in the book are available as Jupyter notebooks, and you need to use an IDE such as Visual Studio Code (https://code.visualstudio.com/) to run them. You also need a Gmail account to download specific resources.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

In certain notebooks, the code uses reduced versions of the datasets to limit the run time to an acceptable level. Feel free to adjust the size of the datasets based on your system configuration. At the end of each chapter, you are strongly urged to re-execute the code by alternating the configuration of each machine learning algorithm.

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Machine Learning Techniques for Text
Published in: Oct 2022Publisher: PacktISBN-13: 9781803242385
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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.
Read more about Nikos Tsourakis

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