Intermediate · NLP

Topic Modeling

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. Statistical models for discovering the abstract 'topics' that occur in a collection of documents.

Technical Definition

Statistical models for discovering the abstract 'topics' that occur in a collection of documents.

How it works

Topic modeling algorithms, such as Latent Dirichlet Allocation (LDA), identify the underlying themes or subjects present in text corpora. They infer topics where a topic is characterized by a set of words that frequently co-occur. This technique is valuable for organizing, searching, and understanding large archives of text data without prior labeling.