stm-package |
Structural Topic Model |
alignCorpus |
Align the vocabulary of a new corpus to an old corpus |
asSTMCorpus |
STM Corpus Coercion |
checkBeta |
Looks for words that load exclusively onto a topic |
checkResiduals |
Residual dispersion test for topic number |
cloud |
Plot a wordcloud |
convertCorpus |
Convert 'stm' formatted documents to another format |
estimateEffect |
Estimates regressions using an STM object |
eval.heldout |
Heldout Likelihood by Document Completion |
findThoughts |
Find Thoughts |
findTopic |
Find topics that contain user specified words. |
fitNewDocuments |
Fit New Documents |
gadarian |
Gadarian and Albertson data |
gadarianFit |
Gadarian and Albertson data |
head.textProcessor |
Process a vector of raw texts |
labelTopics |
Label topics |
make.dt |
Make a 'data.table' of topic proportions. |
make.heldout |
Heldout Likelihood by Document Completion |
manyTopics |
Performs model selection across separate STM's that each assume different numbers of topics. |
multiSTM |
Analyze Stability of Local STM Mode |
optimizeDocument |
Optimize Document |
permutationTest |
Permutation test of a binary covariate. |
plot.estimateEffect |
Plot effect of covariates on topics |
plot.findThoughts |
Find Thoughts |
plot.MultimodDiagnostic |
Plotting Method for Multimodality Diagnostic Objects |
plot.searchK |
Plots diagnostic values resulting from searchK |
plot.STM |
Functions for plotting STM objects |
plot.STMpermute |
Plot an STM permutation test. |
plot.topicCorr |
Plot a topic correlation graph |
plotModels |
Plots semantic coherence and exclusivity for high likelihood models outputted from selectModel. |
plotQuote |
Plots strings |
plotRemoved |
Plot documents, words and tokens removed at various word thresholds |
plotTopicLoess |
Plot some effects with loess |
poliblog5k |
CMU 2008 Political Blog Corpus |
poliblog5k.docs |
CMU 2008 Political Blog Corpus |
poliblog5k.meta |
CMU 2008 Political Blog Corpus |
poliblog5k.voc |
CMU 2008 Political Blog Corpus |
prepDocuments |
Prepare documents for analysis with 'stm' |
print.findThoughts |
Find Thoughts |
print.labelTopics |
Label topics |
print.MultimodDiagnostic |
Analyze Stability of Local STM Mode |
print.sageLabels |
Displays verbose labels that describe topics and topic-covariate groups in depth. |
print.STM |
Summary Function for the STM objects |
print.summary.estimateEffect |
Summary for estimateEffect |
print.textProcessor |
Process a vector of raw texts |
readCorpus |
Read in a corpus file. |
readLdac |
Read in a .ldac Formatted File |
s |
Make a B-spline Basis Function |
sageLabels |
Displays verbose labels that describe topics and topic-covariate groups in depth. |
searchK |
Computes diagnostic values for models with different values of K (number of topics). |
selectModel |
Assists the user in selecting the best STM model. |
stm |
Variational EM for the Structural Topic Model |
summary.estimateEffect |
Summary for estimateEffect |
summary.STM |
Summary Function for the STM objects |
summary.textProcessor |
Process a vector of raw texts |
textProcessor |
Process a vector of raw texts |
thetaPosterior |
Draw from Theta Posterior |
toLDAvis |
Wrapper to launch LDAvis topic browser. |
toLDAvisJson |
Wrapper to create Json mapping for LDAvis. This can be useful in indirect render e.g. Shiny Dashboards |
topicCorr |
Estimate topic correlation |
topicLasso |
Plot predictions using topics |
topicQuality |
Plots semantic coherence and exclusivity for each topic. |
writeLdac |
Write a .ldac file |