Image © Paul Watson, Licence CC BY-NC-SA 2.0
Keywords: latent Dirichlet allocation, LDA, gensim. latent semantic analysis, LSA, topic model
http://radimrehurek.com/gensim/wiki.html
This short tutorial demonstrates how to perform Latent Semantic Analysis and Latent Dirichlet Allocation (aka Topic modelling) with gensim on a large corpus (english wikipedia).
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| Institution: | |
| Year of publication: | 2015 |
| Language: | english |
| Type: | Blog |
| Audience: | linguistics, literary studies |
| Level: | intermediate |
| Prerequisites: | basic python knowledge, gensim installation |
| Media: | text/html |
| Objective: | Demonstrate LSA and LDA with gensim |
| Licence: | |
| Access: | open |
| Creation date: | Thursday, 21 January 2016 10:00:38 |
| Last modified: | Monday, 29 April 2024 14:04:45 |
| BibTeX type: | @misc |
@misc(TeLeMaCo:352,
author = "{\v R}eh{
u}{\v r}ek, Radim",
title = "{E}xperiments on the {E}nglish {W}ikipedia",
year = "2015",
url = "http://radimrehurek.com/gensim/wiki.html"
)
