Using paraphrases to improve tweet classification: Comparing WordNet and word embedding approaches.
Quanzhi LiSameena ShahMohammad Mahdi GhassemiRui FangArmineh NourbakhshXiaomo LiuPublished in: IEEE BigData (2016)
Keyphrases
- wordnet
- word sense disambiguation
- co occurrence
- lexical database
- machine learning methods
- natural language processing
- word similarity
- word sense
- semantic information
- machine translation
- semantic relatedness
- sense disambiguation
- semantic similarity
- feature vectors
- semantic distance
- computing semantic relatedness
- semantic relations
- semantic features
- recognizing textual entailment
- relatedness measure
- classification accuracy
- text documents
- text classification
- lexical knowledge
- sentence level
- keywords
- lexical information
- knowledge base
- unsupervised word sense disambiguation
- machine learning
- natural language
- sentiment analysis
- part of speech
- named entities
- information extraction
- feature selection
- information retrieval