In this post, we use international trade data to model the impact of a hypothetical invasion of Taiwan by China….
Tag: Feature Extraction
Exploring Latent Word Vectors using Path Finding
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 these vectors to find the shortest path between pairs of words. Dijkstra’s algorithm Dijkstra’s algorithm is a method for finding the shortest path between any two vertices of a…
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…
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…