Exploring Latent Word Vectors using Path Finding

Welcome to my latest post where we dive into the exciting world of natural language processing! One of the key tasks in NLP is understanding the relationships between words. In my previous post, I created a product recommendation system using word embeddings. Today, we’ll take it a step further and explore how we can use…

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How to Build a Product Recommendation System in Python

Want to boost sales and stand out from the competition? Implementing a recommendation system can be the key. In this blog post, we’ll show you how to build a product recommendation system using the Python programming language. We’ll be using a modified version of the popular word2vec algorithm to measure the similarity between products, helping…

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Tokenization in Python Using SentencePiece

What is tokenization? Tokenization involves breaking text into individual words, making it easier for computers to understand and analyze meaning. This task applies to various Natural Language Processing (NLP) applications such as language translation, text summarization, and sentiment analysis. In this post, we will explore using SentencePiece, a widely used open-source library for tokenization in…

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