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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

Analyzing the comments text

NLP is a field of AI that involves the use of computational techniques to enable computers to understand, interpret, transform, and even generate human language. NLP uses several techniques, algorithms, and models to process and analyze large datasets of text. Among these techniques, we can mention:

  • Tokenization: Breaks down text into smaller units, like words, parts of words, or characters
  • Lemmatization or stemming: Reduces the words to dictionary form or removes the last few characters to get to a common form (stem)
  • Part-of-Speech (POS) tagging: Assigns a grammatical category (for example, nouns, verbs, proper nouns, and adjectives) to each word in a sequence
  • Named Entity Recognition (NER): Identifies and classifies entities (for example, names of people, organizations, and places)
  • Word embeddings: Use a high-dimensional space to represent the words, a space in which the position of each word is determined by its relationship...
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