In Software Engineering, there is an interesting topic in Software Measurement which is related to Document Similarity. How to perform and calculate document similarity using information retrieval technique like cosine similarity in a vector space model.
In order to demonstrate the practical aspect of how cosine similarity is calculated and implemented, I decided to implement the feature using Java Programming Language. It was a bit of a challenge but it was an interesting experience.
Basically in my sandbox program, you compare a document file with a list of documents, and the output result will return a value between 0 and 1 for each compared document. A document with a value close to 1 implies that this document is similar to the actual document being compared.
You can check out the sandbox program on Udemy where i posted the source code and explanation of how it was developed and how it works. It is specially useful to students following that course in University where they learn how to program mathematical functions in Java.
Use the link below for promo coupon on the tutorial course for the month of January to help get started, https://www.udemy.com/course/nlp-programming-cosine-similarity-for-beginners/?couponCode=84A088196DDF1739D555
