as.seedwords |
Convert a list or a dictionary to seed words |
bootstrap_lss |
[experimental] Compute polarity scores with different hyper-parameters |
char_context |
Identify context words using user-provided patterns |
coef.textmodel_lss |
Extract model coefficients from a fitted textmodel_lss object |
coefficients.textmodel_lss |
Extract model coefficients from a fitted textmodel_lss object |
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 |
predict.textmodel_lss |
Prediction method for textmodel_lss |
seedwords |
Seed words for Latent Semantic Analysis |
smooth_lss |
Smooth predicted LSS scores by local polynomial regression |
textmodel_lss |
Fit a Latent Semantic Scaling model |
textmodel_lss.dfm |
Fit a Latent Semantic Scaling model |
textmodel_lss.fcm |
Fit a Latent Semantic Scaling model |
textplot_simil |
Plot similarity between seed words |
textplot_terms |
Plot polarity scores of words |
textstat_context |
Identify context words using user-provided patterns |