Package: sentopics 0.7.4
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.
Authors:
sentopics_0.7.4.tar.gz
sentopics_0.7.4.tar.gz(r-4.5-noble)sentopics_0.7.4.tar.gz(r-4.4-noble)
sentopics_0.7.4.tgz(r-4.4-emscripten)sentopics_0.7.4.tgz(r-4.3-emscripten)
sentopics.pdf |sentopics.html✨
sentopics/json (API)
NEWS
# Install 'sentopics' in R: |
install.packages('sentopics', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/odelmarcelle/sentopics/issues
- ECB_press_conferences - Corpus of press conferences from the European Central Bank
- ECB_press_conferences_tokens - Tokenized press conferences
- LoughranMcDonald - Loughran-McDonald lexicon
- PicaultRenault - Picault-Renault lexicon
- PicaultRenault_data - Regression dataset based on Picault & Renault
Last updated 3 months agofrom:b5438b3e47. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-linux-x86_64 | OK | Nov 20 2024 |
Exports:as.JSTas.LDAas.LDA_ldaas.rJSTas.sentopicmodelas.tokenschainsDistanceschainsScorescoherencecompute_PicaultRenault_scoresdocvarsfitfit.sentopicmodelgrowJSTLDALDAvismeltmergeTopicsplot_proportion_topicsplot_sentiment_breakdownplot_sentiment_topicsplot_topWordsproportion_topicsresetrJSTsentiment_breakdownsentiment_seriessentiment_topicssentopicmodelsentopics_datesentopics_date<-sentopics_labelssentopics_labels<-sentopics_sentimentsentopics_sentiment<-tokenstopWords
Dependencies:clidata.tablefastmatchgenericsglueISOcodesjsonlitelatticelifecyclemagrittrMatrixquantedaRcppRcppArmadilloRcppHungarianRcppProgressrlangSnowballCstopwordsstringixml2yaml