as.coefficients_textmodel | Coerce various objects to coefficients_textmodel This is a... |
as.seedwords | Convert a list or a dictionary to seed words |
as.statistics_textmodel | Coerce various objects to statistics_textmodel |
as.summary.textmodel | Assign the summary.textmodel class to a list |
as.textmodel_lss | Create a dummy textmodel_lss object from external objects |
bootstrap_lss | [experimental] Compute polarity scores with different... |
coef.textmodel_lss | Extract model coefficients from a fitted textmodel_lss object |
cohesion | Computes cohesion of components of latent semantic analysis |
data_dictionary_ideology | Seed words for analysis of left-right political ideology |
data_dictionary_sentiment | Seed words for analysis of positive-negative sentiment |
data_textmodel_lss_russianprotests | A fitted LSS model on street protest in Russia |
diagnosys | Identify noisy documents in a corpus |
optimize_lss | [experimental] Compute variance ratios with different... |
predict.textmodel_lss | Prediction method for textmodel_lss |
print.coefficients_textmodel | Print methods for textmodel features estimates This is a... |
print.statistics_textmodel | Implements print methods for textmodel_statistics |
print.summary.textmodel | print method for summary.textmodel |
seedwords | Seed words for Latent Semantic Analysis |
smooth_lss | Smooth predicted polarity scores |
textmodel_lss | Fit a Latent Semantic Scaling model |
textplot_components | [experimental] Plot clusters of word vectors |
textplot_simil | Plot similarity between seed words |
textplot_terms | Plot polarity scores of words |
textstat_context | Identify context words |
weight_seeds | Internal function to generate equally-weighted seed set |
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