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Glossary
Natural Language Processing
Topic Modeling

Topic Modeling

[ˈtɑpɪk ˈmɑdəlɪŋ]
Natural Language Processing
Last updated: December 9, 2024

Definition

A method for discovering abstract topics that occur in a collection of documents.

Detailed Explanation

Topic modeling algorithms like LDA (Latent Dirichlet Allocation) analyze word co-occurrence patterns to identify underlying themes in document collections. Each topic is represented as a distribution over words, and each document as a mixture of topics.

Use Cases

Content organization, document clustering, trend analysis, recommendation systems

Related Terms

Stop Words

Common words that are filtered out during text processing because they add little meaningful content.

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Systems that automatically answer questions posed in natural language.

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The process of breaking down text into smaller units called tokens, typically words or subwords.

Natural Language Processing