GitHub / asaines / topic_modeling_lda_tutorial
This repository is a tutorial on Latent Dirichlet Allocation (LDA) for topic modeling using 1.2 million BBC news headlines (2013–2021). It covers text preprocessing, LDA implementation, coherence score evaluation, and topic evolution analysis. Ideal for NLP enthusiasts and data scientists. Key Features Dataset: 1.2 million BBC headlines.
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PURL: pkg:github/asaines/topic_modeling_lda_tutorial
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License: mit
Language: Jupyter Notebook
Size: 751 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Topics: lda-model, nlp, topic-modeling