Image © Paul Watson, Licence CC BY-NC-SA 2.0
Keywords: topic model, LDA, R, LDAvis
https://ldavis.cpsievert.me/reviews/reviews.html
In this document, we fit an LDA topic model to the Cornell Movie Review Data introduced by Pang, Lee, and Vaidyanathan in their 2002 EMNLP paper, where we use ‘polarity dataset version 2.0’ (introduced in a subsequent Pang and Lee 2004 ACL paper). To fit the model, we used the R package lda and we visualize the output using LDAvis.
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| Institution: | |
| Year of publication: | |
| Language: | english |
| Type: | Tutorial |
| Audience: | |
| Level: | intermediate |
| Prerequisites: | some R knowledge |
| Media: | text/html |
| Objective: | |
| Licence: | |
| Access: | open |
| Creation date: | Friday, 21 December 2018 19:24:17 |
| Last modified: | Thursday, 11 April 2024 15:36:03 |
| BibTeX type: | @misc |
@misc(TeLeMaCo:412,
author = "Sievert, Carson",
title = "{A} topic model for movie reviews",
year = "",
url = "https://ldavis.cpsievert.me/reviews/reviews.html"
)
