An empirical study on large scale text classification with skip-gram embeddings.
Georgios BalikasMassih-Reza AminiPublished in: CoRR (2016)
Keyphrases
- text classification
- text categorization
- text documents
- text mining
- labeled data
- real world
- feature selection
- small scale
- bag of words
- dimensionality reduction
- manifold learning
- vector space
- machine learning
- n gram
- document classification
- data cleaning
- naive bayes
- knn
- multi label
- low dimensional
- sentiment analysis
- text data
- classification accuracy
- real life
- association rules
- text classifiers
- information retrieval
- feature reduction