TLDR
In this tutorial, we learn how to make a Plagiarism Detector in Python using machine learning techniques such as word2vec and cosine similarity in just a few lines of code. Once finished, our plagiarism detector will be capable of loading a student’s assignment from files and then compute the similarity to determine if students copied each other. To be able to follow through this tutorial you need to have scikit-learn installed on your machine. We're gonna use OS Module in loading paths of textfiles and then TfidfVectorizer to perform word embedding on our textual data.via the TL;DR App
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Written by kalebujordan | I'm a Mechatronics engineer | Pro Python Developer | AI Enthusiast
