Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification.
Tim SchopfDaniel BraunFlorian MatthesPublished in: WEBIST (Revised Selected Papers) (2021)
Keyphrases
- text classification
- semantic features
- semantic similarity
- text representation
- multi label
- semantic labels
- semantic representations
- unsupervised learning
- bag of words
- similarity measure
- text categorization
- semantic similarity measure
- feature selection
- semantic information
- text mining
- machine learning
- wordnet
- multi label classification
- intermediate representations
- word sense induction
- word similarity
- labeled data
- lexical semantics
- natural language
- naive bayes
- sentiment analysis
- text data
- co occurrence
- pointwise mutual information
- supervised learning
- distance measure
- high level
- sentence similarity
- semantic web
- class labels
- n gram
- learning algorithm
- automatic text classification
- clustering algorithm
- feature extraction
- association rules
- data cleaning
- text classifiers
- similarity function
- text documents