In this repository, I show only the methods I use in searching for topics in data. This repository features the Sk-Learn library for searching existing topics.
In using the Sklearn library, three methods can be used to search for topics:
- Latent Semantic Analysis (LSA) 2.Linear Discriminant Analysis (LDA) 3.Non-negative Matrix Factorization (NFM)
In this repository, I use these three methods to find the best topic. The more accurate the topic, the better suited the method will be to the existing data.