https://github.com/brianruizy/web-scraping-nlp

Machine Learning - Personal Python project demonstrating a data analytic technique known as Web Scraping + Natural Language Processing performed on a real webpage.
https://github.com/brianruizy/web-scraping-nlp

Last synced: 2 months ago
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Machine Learning - Personal Python project demonstrating a data analytic technique known as Web Scraping + Natural Language Processing performed on a real webpage.

• Host: GitHub
• URL: https://github.com/brianruizy/web-scraping-nlp
• Owner: BrianRuizy
• Created: 2019-03-01T07:52:59.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2021-06-07T20:00:53.000Z (over 4 years ago)
• Last Synced: 2025-04-07T21:51:24.606Z (6 months ago)
• Language: HTML
• Homepage:
• Size: 88.9 KB
• Stars: 3
• Watchers: 0
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

          


     

    Web Scraping





Personal portfolio project demonstrating a data analytic technique known as web scraping, on this particular project the analysis will be performed onto Barnes & Noble data.



## About

Web scraping is a technique used to extract certain elements from web pages to develop quantitative resolutions from data. With the use of Sentiment Analysis, a useful method for detecting expression in text, web scraping can become a valuable application for many companies or brands who desire a deeper insight into their clients/ customers.

For this particular project, I extracted data from a *Barnes & Noble* webpage depicting a particular used-book seller feedback. I managed to gather the sites .html through *Chrome's Developer Tools*.

## Dependencies

* textblob

* bs4 (BeautifulSoup)

* termcolor

## Result

The output of some of the "reviews" with the respective polarity preceeding.

![screen shot 2019-03-01 at 2 43 09 am](https://user-images.githubusercontent.com/23439187/53626620-d5084680-3bcb-11e9-89e8-36488b1ba566.png)

The output of the count of both positive and negative reviews.

![screen shot 2019-03-01 at 2 36 48 am](https://user-images.githubusercontent.com/23439187/53626312-ff0d3900-3bca-11e9-99bf-d930d65d4ac7.png)

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#### © [Brian Ruiz](https://github.com/BrianRuizy)