Completed
- Building a News and Sentiment Pipeline for TSLA, BTC and GME
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Classroom Contents
Automate Stocks and Crypto Research with Python and Deep Learning - Full Python Project
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- 1 - Start
- 2 - Explainer
- 3 - Install and Import Baseline Dependencies
- 4 - Setup Summarization Model
- 5 - Auto Summarize a Single Article
- 6 - Scrape a Single Article from Yahoo Finance
- 7 - Cleaning Scraped Data using Text Processing
- 8 - Summarize a Single Article using Hugging Face Transformers
- 9 - Building a News and Sentiment Pipeline for TSLA, BTC and GME
- 10 - Search for Stock News URLs using Google and Yahoo Finance
- 11 - Process and strip out unwanted URLs
- 12 - Scrape Cleaned Financial News Articles
- 13 - Summarize the News Pipeline
- 14 - Calculate Sentiment
- 15 - Export Results to CSV
- 16 - Running the Pipeline as a Script
- 17 - Running the Pipeline for Different Stocks and Cryptocurrencies
