Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set.
Anca Maria TacheMihaela GamanRadu Tudor IonescuPublished in: EACL (2021)
Keyphrases
- self organizing maps
- data sets
- neural gas
- neural network
- input data
- unsupervised learning
- k means
- topology preserving
- competitive learning
- categorical data
- high dimensional data
- clustering algorithm
- clustering method
- information theoretic
- data mining
- sentiment analysis
- machine learning
- low dimensional
- supervised learning
- image data
- active learning
- training set