Estimation of the Structural Topic and Sentiment-Discourse Model
for Text Analysis
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Documentation for package ‘sts’ version 1.6
Help Pages
| sts-package | A Structural Topic and Sentiment-Discourse Model for Text Analysis |
| estimateRegns | Regression Table Estimation |
| findRepresentativeDocs | Function for Identifying Documents that Load Heavily on a Topic |
| gadarian | Gadarian and Albertson data |
| heldoutLikelihood | Compute Heldout Log-Likelihood |
| make.heldout | Heldout Likelihood by Document Completion |
| plot.STS | Function for plotting STS objects |
| plotRepresentativeDocs | Plot Documents that Load Heavily on a Topic |
| prepDocuments | Prepare Documents for Analysis |
| print.STS | Summary Function for the STS objects |
| printRegnTables | Print Estimated Regression Tables |
| printTopWords | Print Top Words that Load Heavily on each Topic |
| sts | Variational EM for the Structural Topic and Sentiment-Discourse (STS) Model |
| summary.STS | Summary Function for the STS objects |
| textProcessor | Process a Vector of Raw Texts |
| topicExclusivity | Compute Exclusivity |
| topicSemanticCoherence | Compute Semantic Coherence |