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

Calculate the average token length for each topic in a topic model

Description

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

Usage

mean_token_length(topic_model, top_n_tokens = 10)

Arguments

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

Value

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

References

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.

Examples

# 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)

topicdoc documentation built on July 17, 2022, 1:05 a.m.