Man pages for LSX
Semi-Supervised Algorithm for Document Scaling
| 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 Latent Semantic Scaling model from various 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 |
