Convolutional Sentence Kernel from Word Embeddings for Short Text Categorization.
Jonghoon KimFrançois RousseauMichalis VazirgiannisPublished in: EMNLP (2015)
Keyphrases
- short text
- sentence level
- latent topics
- short texts
- short text classification
- noun phrases
- n gram
- text categorization
- topic detection
- sentiment analysis
- part of speech
- query words
- topic models
- document level
- natural language
- dimensionality reduction
- support vector
- topic modeling
- word sense disambiguation
- feature space
- sentiment classification
- vector space
- low dimensional
- co occurrence
- information extraction
- knowledge discovery