Word Embeddings and Validity Indexes in Fuzzy Clustering. (arXiv:2205.06802v1 [cs.CL])

In the new era of internet systems and applications, a concept of detecting
distinguished topics from huge amounts of text has gained a lot of attention.
These methods use representation of text in a numerical format -- called
embeddings -- to imitate human-based semantic similarity between words. In this
study, we perform a fuzzy-based analysis of various vector representations of
words, i.e., word embeddings. Also we introduce new methods of fuzzy clustering
based on hybrid implementation of fuzzy clustering methods …

arxiv clustering word embeddings