Topic-Specific Diagnostics for LDA and CTM Topic Models

Documentation for package ‘topicdoc’ version 0.1.1

coherence	Helper function for calculating coherence for a single topic's worth of terms
contain_equal_docs	Helper function to check that a topic model and a dtm contain the same number of documents
dist_from_corpus	Calculate the distance of each topic from the overall corpus token distribution
doc_prominence	Calculate the document prominence of each topic in a topic model
mean_token_length	Calculate the average token length for each topic in a topic model
n_topics	Helper function to determine the number of topics in a topic model
tf_df_dist	Calculate the distance between token and document frequencies
tf_df_dist_diff	Helper function to calculate the Hellinger distance between the token frequencies and document frequencies for a specific topic's top N tokens
topic_coherence	Calculate the topic coherence for each topic in a topic model
topic_diagnostics	Calculate diagnostics for each topic in a topic model
topic_exclusivity	Calculate the exclusivity of each topic in a topic model
topic_size	Calculate the size of each topic in a topic model