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Developing Kaggle Notebooks

You're reading from   Developing Kaggle Notebooks Pave your way to becoming a Kaggle Notebooks Grandmaster

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781805128519
Length 370 pages
Edition 1st Edition
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Author (1):
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Gabriel Preda Gabriel Preda
Author Profile Icon Gabriel Preda
Gabriel Preda
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Table of Contents (14) Chapters Close

Preface 1. Introducing Kaggle and Its Basic Functions FREE CHAPTER 2. Getting Ready for Your Kaggle Environment 3. Starting Our Travel – Surviving the Titanic Disaster 4. Take a Break and Have a Beer or Coffee in London 5. Get Back to Work and Optimize Microloans for Developing Countries 6. Can You Predict Bee Subspecies? 7. Text Analysis Is All You Need 8. Analyzing Acoustic Signals to Predict the Next Simulated Earthquake 9. Can You Find Out Which Movie Is a Deepfake? 10. Unleash the Power of Generative AI with Kaggle Models 11. Closing Our Journey: How to Stay Relevant and on Top 12. Other Books You May Enjoy
13. Index

Text Analysis Is All You Need

In this chapter, we will learn how to analyze text data and create machine learning models to help us. We will use the Jigsaw Unintended Bias in Toxicity Classification dataset (see Reference 1). This competition had the objective of building models that detect toxicity and reduce unwanted bias toward minorities that might be wrongly associated with toxic comments. With this competition, we introduce the field of Natural Language Processing (NLP).

The data used in the competition originates from the Civil Comments platform, which was founded by Aja Bogdanoff and Christa Mrgan in 2015 (see Reference 2) with the aim of solving the problem of civility in online discussions. When the platform was closed in 2017, they chose to keep around 2 million comments for researchers who want to understand and improve civility in online conversations. Jigsaw was the organization that sponsored this effort and then started a competition for language toxicity classification...

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