sem_sim_seq: Calculate semantic similarity sequence for a single dyad

In conversim: Conversation Similarity Analysis

Calculate semantic similarity sequence for a single dyad

Description

This function calculates semantic similarity over a sequence of conversation exchanges within a single dyad.

Usage

sem_sim_seq(conversation, method = "tfidf", window_size = 3, ...)

Arguments

conversation	A data frame representing the conversation
method	A character string specifying the method to use: "tfidf", "word2vec", or "glove"
window_size	An integer specifying the size of the sliding window
...	Additional arguments passed to semantic_similarity

Value

A list containing the sequence of similarities and the average similarity

Examples

conversation <- data.frame(
  processed_text = c("The weather is nice", "It's a beautiful day",
                     "The sun is shining", "Perfect day for a picnic")
)
result <- sem_sim_seq(conversation, method = "tfidf", window_size = 2)
print(result)

conversim documentation built on Sept. 20, 2024, 5:09 p.m.