R: Topic-Specific Diagnostics for LDA and CTM Topic Models

# Topic-Specific Diagnostics for LDA and CTM Topic Models

## Documentation for package ‘topicdoc’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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