topic_similarity {conversim} | R Documentation |
Calculate topic similarity between two conversations
Description
This function calculates the topic similarity between two conversations using either Latent Dirichlet Allocation (LDA) or Latent Semantic Analysis (LSA).
Usage
topic_similarity(conv1, conv2, method = "lda", num_topics = 2)
Arguments
conv1 |
A character vector representing the first conversation |
conv2 |
A character vector representing the second conversation |
method |
A character string specifying the method to use: "lda" or "lsa" |
num_topics |
An integer specifying the number of topics to use in the model |
Value
A numeric value representing the topic similarity
Examples
conv1 <- c("I love pizza", "Pizza is my favorite food")
conv2 <- c("I prefer pasta", "Pasta is delicious")
topic_similarity(conv1, conv2, method = "lda", num_topics = 2)
topic_similarity(conv1, conv2, method = "lsa", num_topics = 2)
[Package conversim version 0.1.0 Index]