semantic_similarity {conversim} | R Documentation |
Calculate semantic similarity between two conversations
Description
This function calculates the semantic similarity between two conversations using either TF-IDF, Word2Vec, or GloVe embeddings approach.
Usage
semantic_similarity(
conversation1,
conversation2,
method = "tfidf",
model_path = NULL,
dim = 100,
window = 5,
iter = 5
)
Arguments
conversation1 |
A character string representing the first conversation |
conversation2 |
A character string representing the second conversation |
method |
A character string specifying the method to use: "tfidf", "word2vec", or "glove" |
model_path |
A character string specifying the path to pre-trained GloVe file (required for "glove" method) |
dim |
An integer specifying the dimensionality for Word2Vec embeddings (default: 100) |
window |
An integer specifying the window size for Word2Vec (default: 5) |
iter |
An integer specifying the number of iterations for Word2Vec (default: 5) |
Value
A numeric value representing the semantic similarity (between 0 and 1)
Examples
conv1 <- "The quick brown fox jumps over the lazy dog"
conv2 <- "A fast auburn canine leaps above an idle hound"
semantic_similarity(conv1, conv2, method = "tfidf")
[Package conversim version 0.1.0 Index]