About this document
Understanding Topic Modeling Techniques by giriselvam06 is a document available to read on EtoBox.
Topic modeling is a statistical approach used to discover hidden semantic patterns in text corpora, enabling businesses to analyze unstructured data efficiently. It involves preprocessing text, vectorization, model training, and interpretation of topics, with techniques like Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA) being commonly used. Text classification, a related task, categorizes text into predefined groups using various algorithms and approaches, enhancing the organization a
- Author
- giriselvam06
- Language
- EN