Скачать или смотреть Building a Python News Aggregator from SCRATCH! | Data Science for Media Bias Detection #12

In this video, we will be constructing a Python News Aggregator from SCRATCH using three Python scripts we created earlier in our course!

Extended Video Description
In the following video, we will be building a summative python news aggregator which dynamically extracts, parses, and analyzes the latest technology-related news articles from the New York Times! Additionally, I will also be giving YOU a full guide to create an aggregator of your own so follow along and stay tuned to my course video! Finally, we will finish off our course project and run our script - watching the extracted articles come to life!

Relevant Course Videos
1.    • Scrape and Summarize News Articles with Ne...   - Scrapes and summarizes news articles
2.    • Web Scraping NEWS Articles - Parsing HTML ...   and    • Web Scraping with BeautifulSoup - Article ...   - Parse HTML with BeautifulSoup and extract all of our article hyperlinks!
3.    • Python Newspaper Sentiment Analysis with T...   - Performs sentiment analysis in individual news articles

Access the GitHub code for the official news aggregator here: https://github.com/Rohak72/Newspaper-...

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🕘Timestamps:
0:00 Introduction
0:45 Script Components
1:34 How YOU can create an aggregator of your own!
2:53 Combining our scripts!
3:21 Building the User Experience
4:30 Using time.sleep() commands
5:30 Incorporating our HTML parser script!
7:00 Constructing our Aggregator with a couple more scripts!
8:55 The Final Project Run!
11:00 Outro

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😃 Share this video with a friend if you found it helpful! -    • Building a Python News Aggregator from SCR...  
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Watch our free, in-depth courses and make a CHANGE with technology!
Check them out down below:
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💻 Learn Website Creation from SCRATCH with HTML and CSS. SPREAD your messages and SHARE your ideas. Watch the first video here: https://rb.gy/qirsrj

📰 Detect NEWS BIAS in the Media using Python Data Science Techniques! Enact SOCIAL CHANGE and join the fight against media bias. Watch the first video here:    • Make a CHANGE with Data Science | Data Sci...  
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