sem_sim_seq {conversim} | R Documentation |
This function calculates semantic similarity over a sequence of conversation exchanges within a single dyad.
sem_sim_seq(conversation, method = "tfidf", window_size = 3, ...)
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 |
A list containing the sequence of similarities and the average similarity
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)