Exploiting Class Labels to Boost Performance on Embedding-based Text Classification.
Arkaitz ZubiagaPublished in: CIKM (2020)
Keyphrases
- class labels
- text classification
- labeled data
- multi label
- unlabeled data
- training documents
- text categorization
- semi supervised learning
- training data
- labeled and unlabeled data
- feature selection
- classification algorithm
- machine learning
- text documents
- supervised learning
- text mining
- naive bayes
- bag of words
- sentiment analysis
- text classifiers
- training examples
- text data
- document classification
- spam filtering
- knn
- multi label classification
- data samples
- vector space
- multiple types
- label information
- feature set
- data mining
- training corpus
- data analysis
- data points
- semantic features
- support vector
- object recognition
- learning algorithm
- unsupervised learning
- k nearest neighbor