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.Want a similar project? Contact me
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.