Similarity-Tester-Using-Global-Vectors-for-Word-Representation

Overview:

This code will read and load vectors for the words in the given sentences as per the input.It identifies cosine similarity using scipy's distance function.Average of vectors is taken and similarity is calculated.

Dependencies:

1. Scipy

2. Numpy

3. GloVe

GloVe can be downloaded from here: https://nlp.stanford.edu/software/GloVe-1.2.zip

Usage:

Run this using jupyter notebook.Just type jupyter notebook in the main directory and the code will pop up in a browser window.

Output:

This code will give you similarity score among the sentence 1 and sentence 2.