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

Anca Maria Tache, Mihaela Gaman, Radu-Tudor Ionescu. Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set. In Paola Merlo, Jörg Tiedemann, Reut Tsarfaty, editors, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, April 19 - 23, 2021. pages 949-956, Association for Computational Linguistics, 2021. [doi]

Abstract

Abstract is missing.