Topology
Natural Language Processing
A method for discovering abstract topics that occur in a collection of documents.
Detailed Explanation
Topic Modeling is an NLP technique used to identify and extract abstract themes or themes within a large collection of textual data. It analyzes the co-occurrence patterns of words across documents to detect underlying topics, helping to organize, summarize, and understand large texts by revealing hidden semantic structures without requiring labeled data.
Use Cases
- •Organizing large document corpora to identify prevalent themes for improved content categorization and summarization.
Related Terms
Other terms in the Natural Language Processing category