Building a Vector Space Indexing Engine in Python

Learn how to build a vector space indexing engine from scratch using Python. Implement concordance, vector space calculations, and apply the indexing engine to sample documents.

Introduction

This course teaches you how to build a vector space indexing engine from scratch using Python. You will learn the fundamental concepts of vector space search engines, including concordance and vector space calculations, and implement them in Python.

Highlights

• Learn how to build a concordance to index documents
• Implement vector space calculations to determine document relevance
• Apply the indexing engine to a set of sample documents
• Understand the theory behind vector space search engines

Recommendation

This course is suitable for Python developers who are interested in building their own search engine or understanding the underlying concepts of vector space indexing. It provides a hands-on approach to implementing a functional search engine, making it a great learning experience for those looking to expand their knowledge in this domain.