A Toolkit for Industrial Topic Modeling
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Updated
Jul 1, 2021 - C++
A Toolkit for Industrial Topic Modeling
Using latent Dirichlet allocation (LDA) in Apache Lucene
High performance topic modeling for Ruby
Implementations of various online inference algorithms for LDA, with Python interface.
a fast Cpp-implementation Hierarchy Latent Dirichlet Allocation algorithm, can aggregate stop-words/meaningless-high-frequency-words into "common-topic"(a rubbish words bucket) and generate K(number of topics you set) more pure "special-topics".
Fuzzy Approach to LDA topic modeling
Very simple LDA implementation.
Topic Modeling with Logical Constraints on Words
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