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sentopics
View on CRAN: Click
here
Download and install sentopics package within the R console
Install from CRAN:
install.packages("sentopics")
Install from Github:
library("remotes")
install_github("cran/sentopics")
Install by package version:
library("remotes")
install_version("sentopics", "0.7.4")
Attach the package and use:
library("sentopics")
Maintained by
Olivier Delmarcelle
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.sentopics . https://github.com/odelmarcelle/sentopics/issues . https://github.com/odelmarcelle/sentopics . sentopics results . sentopics.pdf . sentopics_0.7.4.tar.gz . sentopics_0.7.4.zip . sentopics_0.7.4.zip . sentopics_0.7.4.zip . sentopics_0.7.4.tgz . sentopics_0.7.4.tgz . sentopics_0.7.4.tgz . sentopics_0.7.4.tgz . sentopics archive . https://CRAN.R-project.org/package=sentopics .
First Published: 2022-03-10
Latest Update: 2023-05-28
Description:
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.
How to cite:
Olivier Delmarcelle (2022). sentopics: Tools for Joint Sentiment and Topic Analysis of Textual Data. R package version 0.7.4, https://cran.r-project.org/web/packages/sentopics. Accessed 23 Apr. 2025.
Previous versions and publish date:
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Other R packages that sentopics depends,
imports, suggests or enhances
Complete documentation for sentopics
Functions, R codes and Examples using
the sentopics R package
Some associated functions: ECB_press_conferences . ECB_press_conferences_tokens . JST . LDA . LDAvis . LoughranMcDonald . PicaultRenault . PicaultRenault_data . as.LDA . as.tokens.dfm . chainsDistances . chainsScores . coherence . compute_PicaultRenault_scores . get_ECB_press_conferences . get_ECB_speeches . grow . melt . melt.sentopicmodel . mergeTopics . plot.multiChains . plot.sentopicmodel . print.sentopicmodel . proportion_topics . rJST . reexports . reset . sentiment_breakdown . sentiment_series . sentiment_topics . sentopicmodel . sentopics-conversions . sentopics-package . sentopics_date . sentopics_labels . sentopics_sentiment . topWords .
Some associated R codes: RcppExports.R . coherence.R . conversions.R . functions.R . generators.R . merging.R . methods.R . models.R . others.R . sentopics.R . timeSeries.R . utils.R . zzz.R . Full sentopics package functions and examples
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