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lrec2010_final.pdf

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📊 Size: 140 KB

📄 Pages: 5 pages

⬇️ Downloads: 63

Summary

Radim Řehůřek and Petr Sojka introduce a software framework for topic modeling with large corpora, addressing the limitations of existing implementations in terms of scalability and ease of use. The framework is based on document streaming, allowing for memory-independent processing of corpora. It implements popular algorithms like Latent Semantic Analysis and Latent Dirichlet Allocation, making them independent of training corpus size. The design emphasizes simplicity, intuitiveness, and ease of modification, with a focus on natural language processing (NLP) terminology. The framework is implemented in Python, ensuring easy deployment and compatibility across major platforms.

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Description

Radim Řehůřek and Petr Sojka introduce a software framework for topic modeling with large corpora, addressing the limitations of existing implementations in...

Technical Information

File Format: PDF
File Size: 140 KB
Pages: 5
Language: EN
Total Downloads: 63
Last Updated: 1 month ago

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