closesemin
closesemin is a Python package designed to facilitate the analysis and visualization of semantic similarity between text documents or word embeddings. It provides tools for computing and interpreting semantic closeness, which is particularly useful in natural language processing (NLP) tasks such as document clustering, topic modeling, and information retrieval.
The core functionality of closesemin revolves around calculating semantic similarity metrics, such as cosine similarity, Euclidean
One of its key features is the ability to generate and visualize similarity matrices, which display pairwise
closesemin is particularly useful for researchers and practitioners working with large text corpora, as it streamlines
The package is open-source and maintained by a community of developers, with regular updates to improve functionality