First Mini Project
Explore how to build a Python-based NLP engine that finds the odd word within a list by leveraging word2vec embeddings. Understand vector calculations and similarity metrics to distinguish unique words effectively. This lesson guides you through creating and testing a function that identifies outliers in word groups.
We'll cover the following...
Introduction to the project
By now you have gained some insight into howword2vec models work, and you have completed the hands-on activity in the previous lesson. Now we are ready to start with our first mini project.
In this lesson, we are going to build an NLP engine that will pick the odd word from a set of words. For example, we have a list of words like ["Apple", "Mango", "Party", "Juice"]. Out of these many words, it is clear that the word Party is odd among them ...