Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings.
Zied Haj-YahiaAdrien SiegLéa A. DelerisPublished in: ACL (1) (2019)
Keyphrases
- text classification
- n gram
- unsupervised learning
- word segmentation
- training corpus
- term frequency
- topic modeling
- distributional clustering
- feature selection
- text mining
- naive bayes
- topic discovery
- machine learning
- bag of words
- text categorization
- co occurrence
- language modeling
- vector space
- sentiment analysis
- euclidean space
- pos tagging
- low dimensional
- knn
- pointwise mutual information
- multi label
- text data
- labeled data
- semantic features
- word recognition
- supervised learning
- text documents
- syntactic categories
- statistical language modeling
- dimensionality reduction
- data cleaning
- text classifiers
- sentiment classification
- unlabeled data
- feature space
- keywords
- hidden markov models
- language model
- information theoretic
- information extraction
- action recognition