Publication details
Gensim -- Statistical Semantics in Python
| Authors | |
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| Year of publication | 2011 |
| Type | Appeared in Conference without Proceedings |
| MU Faculty or unit | |
| Citation | |
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| Description | \texttt{Gensim} is a pure Python library that fights on two fronts: 1)~digital document indexing and similarity search; and 2)~fast, memory-efficient, scalable algorithms for Singular Value Decomposition and Latent Dirichlet Allocation. The connection between the two is unsupervised, semantic analysis of plain text in digital collections. Gensim was created for large digital libraries, but its underlying algorithms for large-scale, distributed, online SVD and LDA are like the Swiss Army knife of data analysis---also useful on their own, outside of the domain of Natural Language Processing. |
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