Wordembeddings Python Packages

chronogram

Diachronic Word Embedding Model based on Word2vec Skip-gram with Chebyshev approximation

allmeans

Automatic topic discovery with zero LLMs, minimal input

seaqube

Semantic Quality Benchmark for Word Embeddings, i.e. Natural Language Models in Python. The shortname is `SeaQuBe` or `seaqube`. Simple call it '| ˈsi: kjuːb |'

rivertext

RiverText is a framework that standardizes the Incremental Word Embeddings proposed in the state-of-art. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!