Text Classification with Topic-based Word Embedding and Convolutional Neural Networks.
Haotian XuMing DongDongxiao ZhuAlexander KotovApril Idalski CarconeSylvie Naar-KingPublished in: BCB (2016)
Keyphrases
- text classification
- convolutional neural networks
- n gram
- term frequency
- topic modeling
- training corpus
- topic discovery
- distributional clustering
- text categorization
- bag of words
- convolutional network
- feature selection
- latent topics
- word frequency
- concept space
- labeled data
- vector space
- semantic features
- machine learning
- text documents
- document classification
- sentiment analysis
- text classifiers
- text data
- text mining
- sentiment classification
- document set
- knn
- multi label
- topic models
- query words
- statistical topic models
- neural network
- co occurrence
- word pairs
- information theoretic
- sentence level
- data cleaning