sentopics: Tools for Joint Sentiment and Topic Analysis of Textual Data
A framework that joins topic modeling and sentiment analysis of textual data. The package implements a fast Gibbs sampling estimation of Latent Dirichlet Allocation (Griffiths and Steyvers (2004) <doi:10.1073/pnas.0307752101>) and Joint Sentiment/Topic Model (Lin, He, Everson and Ruger (2012) <doi:10.1109/TKDE.2011.48>). It offers a variety of helpers and visualizations to analyze the result of topic modeling. The framework also allows enriching topic models with dates and externally computed sentiment measures. A flexible aggregation scheme enables the creation of time series of sentiment or topical proportions from the enriched topic models. Moreover, a novel method jointly aggregates topic proportions and sentiment measures to derive time series of topical sentiment.
| Version: | 0.7.4 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 1.0.4.6), methods, generics, quanteda (≥ 3.2.0), data.table (≥ 1.13.6), RcppHungarian |
| LinkingTo: | Rcpp, RcppArmadillo, RcppProgress |
| Suggests: | ggplot2, ggridges, plotly, RColorBrewer, xts, zoo, future, future.apply, progressr, progress, testthat, covr, stm, lda, topicmodels, seededlda (≥ 1.4.0), keyATM, LDAvis, servr, textcat, stringr, sentometrics, spacyr, knitr, rmarkdown, webshot |
| Published: | 2024-09-20 |
| DOI: | 10.32614/CRAN.package.sentopics |
| Author: | Olivier Delmarcelle
 [aut, cre],
Samuel Borms
[ctb],
Chengua Lin [cph] (Original JST implementation),
Yulan He [cph] (Original JST implementation),
Jose Bernardo [cph] (Original JST implementation),
David Robinson [cph] (Implementation of reorder_within()),
Julia Silge [cph]
(Implementation of reorder_within()) |
| Maintainer: | Olivier Delmarcelle <delmarcelle.olivier at gmail.com> |
| BugReports: | https://github.com/odelmarcelle/sentopics/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/odelmarcelle/sentopics |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | sentopics results |
Documentation:
| Reference manual: | sentopics.pdf |
| Vignettes: |
Basic usage (source, R code) Topical time series (source, R code) |
Downloads:
| Package source: | sentopics_0.7.4.tar.gz |
| Windows binaries: | r-devel: sentopics_0.7.4.zip, r-release: sentopics_0.7.4.zip, r-oldrel: sentopics_0.7.4.zip |
| macOS binaries: | r-release (arm64): sentopics_0.7.4.tgz, r-oldrel (arm64): sentopics_0.7.4.tgz, r-release (x86_64): sentopics_0.7.4.tgz, r-oldrel (x86_64): sentopics_0.7.4.tgz |
| Old sources: | sentopics archive |
Linking:
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