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Data Augmentation with Python

You're reading from   Data Augmentation with Python Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246451
Length 394 pages
Edition 1st Edition
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Author (1):
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Duc Haba Duc Haba
Author Profile Icon Duc Haba
Duc Haba
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Data Augmentation
2. Chapter 1: Data Augmentation Made Easy FREE CHAPTER 3. Chapter 2: Biases in Data Augmentation 4. Part 2: Image Augmentation
5. Chapter 3: Image Augmentation for Classification 6. Chapter 4: Image Augmentation for Segmentation 7. Part 3: Text Augmentation
8. Chapter 5: Text Augmentation 9. Chapter 6: Text Augmentation with Machine Learning 10. Part 4: Audio Data Augmentation
11. Chapter 7: Audio Data Augmentation 12. Chapter 8: Audio Data Augmentation with Spectrogram 13. Part 5: Tabular Data Augmentation
14. Chapter 9: Tabular Data Augmentation 15. Index 16. Other Books You May Enjoy

Real-world text datasets

The Kaggle website is an online community platform for data scientists and machine learning enthusiasts. The Kaggle website has thousands of real-world datasets; Pluto found a little over 2,900 NLP datasets and has selected two NLP datasets for this chapter.

In Chapter 2, Pluto uses the Netflix and Amazon datasets as examples with which to understand biases. Pluto keeps the Netflix NLP dataset because the movie reviews are curated . There are a few syntactical errors, but overall, the input texts are of high quality.

The second NLP dataset is Twitter Sentiment Analysis (TSA). The 29,530 real-world tweets contain many grammatical errors and misspelled words. The challenge is to classify the tweets into two categories: (1) normal or (2) racist and sexist.

The dataset was published in 2021 by Mayur Dalvi, and the license is CC0: Public Domain, https://creativecommons.org/publicdomain/zero/1.0/.

After selecting the two NLP datasets, you can use the...

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