Model for Semisupervised Text Analysis Based on Word Embeddings


[Up] [Top]

Documentation for package ‘LSX’ version 0.9.9

Help Pages

as.seedwords Convenient function to convert a list to seed words
char_context Identify context words using user-provided patterns
char_keyness Identify context words using user-provided patterns
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
seedwords Seed words for Latent Semantic Analysis
smooth_lss Smooth predicted LSS scores by local polynomial regression
textmodel_lss A word embeddings-based semisupervised model for document scaling
textmodel_lss.dfm A word embeddings-based semisupervised model for document scaling
textmodel_lss.fcm A word embeddings-based semisupervised model for document scaling
textplot_simil Plot similarity between seed words
textplot_terms Plot polarity scores of words
textstat_context Identify context words using user-provided patterns