https://github.com/joaopedrovtp/Web_Scraping_WordCloud

Using Web Scraping to create a Wordcloud
https://github.com/joaopedrovtp/Web_Scraping_WordCloud

Last synced: 7 days ago
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Using Web Scraping to create a Wordcloud

• Host: GitHub
• URL: https://github.com/joaopedrovtp/Web_Scraping_WordCloud
• Owner: joaopedrovtp
• License: mit
• Created: 2020-04-29T19:30:15.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-06-18T17:51:53.000Z (over 4 years ago)
• Last Synced: 2024-08-01T13:37:59.200Z (3 months ago)
• Language: Python
• Size: 345 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Web Scraping and Wordcloud

In this project I used python Web Scraping to create a wordcloud with trending words of 10 recent articles content from Coin Telegraph website (https://cointelegraph.com/). It's a media website covering blockchain technology and crypto assets.

For that I used libraries like Beautiful Soup(web scraping), NLTK (Natural languague processing) and worldcloud(https://github.com/amueller/word_cloud).

Result:

![Bitcoin Wordcloud](bitcoin_wordcloud.png)

That was just for fun, but what if I say that someday I want to know the trending topics from this page or maybe any website? That would be great! My thanks to @DataScienceAcademy and @Datacamp for the helping content :)