Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set

no code implementations • EACL 2021 • Anca Tache, Gaman Mihaela, Radu Tudor Ionescu

Romanian is one of the understudied languages in computational linguistics, with few resources available for the development of natural language processing tools.

Clustering Sentiment Analysis +3