A comparative study of clustering methods using word embeddings.
Nikolaos BastasGeorge KalpakisTheodora TsikrikaStefanos VrochidisIoannis KompatsiarisPublished in: EISIC (2019)
Keyphrases
- co occurrence
- n gram
- comparative study
- vector space
- microsoft word
- word sense disambiguation
- manifold learning
- keywords
- machine learning
- principal component analysis
- data structure
- distance measure
- low dimensional
- knowledge base
- feature selection
- information systems
- euclidean space
- natural language text
- string matching
- word segmentation
- word pairs
- neural network