Using Word Embeddings and Deep Learning for Supervised Topic Detection in Social Networks.
Karel Gutiérrez-BatistaJesús R. CampañaMaría Amparo Vila MirandaMaría J. Martín-BautistaPublished in: FQAS (2019)
Keyphrases
- deep learning
- topic detection
- unsupervised learning
- weakly supervised
- text classification
- machine learning
- dimensionality reduction
- n gram
- document level
- text data
- semi supervised
- document clustering
- supervised learning
- document collections
- feature selection
- low dimensional
- vector space
- co occurrence
- learning algorithm
- sentence level
- similarity measure
- sentiment classification
- keywords
- information retrieval