You're reading from Data Science for Web3 A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781837637546

Length 344 pages

Edition 1st Edition

Languages

Python

Tools

Blockchain

Concepts

Blockchain

Author (1):

Gabriela Castillo Areco

View More author details

Table of Contents (23) Chapters

Preface

1. Part 1 Web3 Data Analysis Basics

2. Chapter 1: Where Data and Web3 Meet FREE CHAPTER

3. Chapter 2: Working with On-Chain Data

4. Chapter 3: Working with Off-Chain Data

5. Chapter 4: Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity

6. Chapter 5: Exploring Analytics on DeFi

7. Part 2 Web3 Machine Learning Cases

8. Chapter 6: Preparing and Exploring Our Data

9. Chapter 7: A Primer on Machine Learning and Deep Learning

10. Chapter 8: Sentiment Analysis – NLP and Crypto News

11. Chapter 9: Generative Art for NFTs

12. Chapter 10: A Primer on Security and Fraud Detection

13. Chapter 11: Price Prediction with Time Series

14. Chapter 12: Marketing Discovery with Graphs

15. Part 3 Appendix

16. Chapter 13: Building Experience with Crypto Data – BUIDL

17. Chapter 14: Interviews with Web3 Data Leaders

18. Index

Why subscribe?

19. Other Books You May Enjoy

Appendix 1

1. Appendix 2

2. Appendix 3

Sentiment Analysis – NLP and Crypto News

Natural language processing (NLP) falls under the umbrella of artificial intelligence and is concerned with the comprehension of text by computers. Recent advancements in this field, exemplified by the emergence of tools such as ChatGPT, have become an integral part of our daily lives. Yet, the financial sector has been leveraging NLP for quite some time, particularly for fundamental analysis.

Fundamental analysis seeks to ascertain the intrinsic value of assets such as stocks, tokens, or NFT art based on publicly accessible information. In traditional finance, textual data is sourced from periodic submissions to the SEC (such as Form 10K or 10Q), including financial statements, specialized media news, social media platforms such as X (formerly Twitter), and other avenues. Web3 has fostered a similar environment where market activities are continuous, and X and news platforms serve as predominant textual resources. It’s worth...