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Automated Article Generation
The Automated Article Generation was a program which searches for
articles on google containing prespecified keywords.
Using a web crawler it then downloads the top 10 pages for each keyword
saving the data in a SQLite database. Proxy and user agents could be
used to simulate real users. It extracted the text from the HTML.
It’s main purpose was to generate a new article based on various combiations from that data received to fit specific keywords.
This project also allowed copywriter to review a variety of texts to create a unique article.
The Solution
The automated article generation proof of concept was a success. It has led to two other projects such as Plagiarism Detection software and plagiarism obfuscation projects.
Technologies Used
Tcl, SQLite
WARNING
[.marker]#WARNING: Don’t use this to increase your SEO or YOU will get banned from Google! This was a proof of concept to show off how easy it was to create "unique" content and get SEO for certain keywords. #