topicdoc0.1.1 package

Topic-Specific Diagnostics for LDA and CTM Topic Models

coherence

Helper function for calculating coherence for a single topic's worth o...

contain_equal_docs

Helper function to check that a topic model and a dtm contain the same...

dist_from_corpus

Calculate the distance of each topic from the overall corpus token dis...

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 ...

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

Download source packageRead PDF manual

Calculates topic-specific diagnostics (e.g. mean token length, exclusivity) for Latent Dirichlet Allocation and Correlated Topic Models fit using the 'topicmodels' package. For more details, see Chapter 12 in Airoldi et al. (2014, ISBN:9781466504080), pp 262-272 Mimno et al. (2011, ISBN:9781937284114), and Bischof et al. (2014) <arXiv:1206.4631v1>.

  • Maintainer: Doug Friedman
  • License: MIT + file LICENSE
  • Last published: 2022-07-17

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