Topic Identification with Gensim library using Python - Analytics Vidhya

Topic Identification is a method for identifying hidden subjects in enormous amounts of text. The Latent Dirichlet Allocation (LDA) technique is a common topic modeling algorithm that has great implementations in Python's Gensim package. The problem is determining how to extract high-quality themes that are distinct, distinct, and significant. This varies depending on the text preparation quality and the approach for determining the ideal number of subjects. This tutorial aims to address both issues.