ML

Clustering BBC
Various clustering algorithms were applied to a corpus of BBC news articles, and the results were compared. Furthermore, which algorithm was best suited for the assignment of the individual news categories was classified.
Clustering BBC
Clustering Music Genre
This project aimed to apply different clustering methods to a corpus of song lyrics and clarify whether or not music genres can be distinguished based on song lyrics alone.
Clustering Music Genre
Word Embeddings
The central aim of this project is to ascertain the viability of utilizing BERT for detecting alterations in word meanings over time. This endeavour involves a comprehensive investigation that includes the utilization and comparative analysis of both Word2Vec and BERT models.
Word Embeddings