Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set.
Anca Maria TacheMihaela GamanRadu Tudor IonescuPublished in: CoRR (2021)
Keyphrases
- self organizing maps
- data sets
- k means
- neural network
- input data
- unsupervised learning
- dimensionality reduction
- competitive learning
- som neural network
- topology preserving
- high dimensional data
- neural gas
- pattern recognition
- data processing
- clustering method
- sentiment analysis
- sentiment polarity
- database
- growing neural gas
- visualization methods
- sentence level
- manifold learning
- data clustering
- cluster analysis
- information theoretic
- microarray
- low dimensional
- image processing