R: A Model for Semi-Supervised Keyword Extraction from Word Embedding Models

# A Model for Semi-Supervised Keyword Extraction from Word Embedding Models

## Documentation for package ‘keyclust’ version 1.2.5

- DESCRIPTION file
- Package README

## Help Pages

cosimilarity_matrix | Returns cosine cosimilarity matrix for the terms generated by keyclust
keyclust | Algorithm designed to efficiently extract keywords from a cosine similarity matrix
print.keyclust | Prints terms generated by keyclust
process_embed | A tool designed to reduce redundant terms in a fitted embedding model
similarity_matrix | Algorithm designed to create a cosine similarity matrix from a fitted word embedding model
terms.keyclust | Returns terms generated by keyclust
wordemb_FasttextEng_sample | Sample from the pre-trained English fastText model