mean_token_length: Calculate the average token length for each topic in a topic...
In topicdoc: Topic-Specific Diagnostics for LDA and CTM Topic Models

Description Usage Arguments Value References Examples

Using the the N highest probability tokens for each topic, calculate the average token length for each topic

1	mean_token_length(topic_model, top_n_tokens = 10)

`topic_model`	a fitted topic model object from one of the following: `tm-class`
`top_n_tokens`	an integer indicating the number of top words to consider, the default is 10

A vector of average token lengths with length equal to the number of topics in the fitted model

Jordan Boyd-Graber, David Mimno, and David Newman, 2014. Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements. CRC Handbooks ofModern Statistical Methods. CRC Press, Boca Raton, Florida.

# Using the example from the LDA function
library(topicmodels)
data("AssociatedPress", package = "topicmodels")
lda <- LDA(AssociatedPress[1:20,], control = list(alpha = 0.1), k = 2)
mean_token_length(lda)