This document explains the process of creating an inverted index for data science, data mining, and information systems. It covers the removal of stop words, the application of the Porter Stemming algorithm, and the merging of inverted lists. The document also discusses testing the inverted index using keywords and explores the Boolean and vector models for querying. Additionally, it evaluates the performance of search engines using precision and recall.