Uses pre-computed GloVe embeddings to find comics that are semantically
similar to the given query. Unlike searchXKCD(), which matches
keywords, this function captures meaning (e.g., "feeling lonely" can match
comics about isolation even if they don't contain the word "lonely").
Run updateConfig() first to build the embeddings.
Usage
similarXKCD(query, n = 5L)
Arguments
- query
A single string describing the topic or feeling to search for.
- n
A single integer specifying the number of results to return. Defaults to 5.
Value
A data frame with columns num, date, title, alt,
and similarity (cosine similarity score, 0-1), ordered by similarity.
If no similar comics are found, an empty data frame is returned invisibly.
The function will stop with an error if the embeddings have not been built.