LDA.js

Node.js library for Latent Dirichlet Allocation topic modeling

EstablishedOpen SourceLow lock-in
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Pricing

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Flat rate

Adoption

→Stable

License

Open Source

Data freshness

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Overview

What is LDA.js?

LDA.js is a Node.js implementation of Latent Dirichlet Allocation, enabling developers to perform topic modeling on text data directly within their JavaScript applications.

Key differentiator

“LDA.js stands out as the only Node.js library providing an efficient and customizable implementation of Latent Dirichlet Allocation, making it ideal for integrating topic modeling directly into JavaScript applications.”

Capability profile

Strength Radar

Efficient topic …Node.js implemen…Flexible configu…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Efficient topic modeling using Latent Dirichlet Allocation (LDA)

Node.js implementation for seamless integration with JavaScript applications

Flexible configuration options for customizing the LDA model

Fit analysis

Who is it for?

✓ Best for

Developers building text analysis tools who need a Node.js-based LDA implementation

Projects requiring efficient and customizable topic modeling within JavaScript applications

✕ Not a fit for

Applications that require real-time streaming processing of text data

Teams looking for a cloud-hosted service with managed infrastructure

Cost structure

Pricing

Free Tier

None

Starts at

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Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Next step

Get Started with LDA.js

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →