Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification.
Peng WangBo XuJiaming XuGuanhua TianCheng-Lin LiuHongwei HaoPublished in: Neurocomputing (2016)
Keyphrases
- convolutional neural network
- short text classification
- short text
- clustering algorithm
- co occurrence
- clustering method
- data mining
- k means
- semantic concepts
- cluster analysis
- face detection
- latent topics
- vector space
- information retrieval
- n gram
- document clustering
- semantic similarity
- detection method
- natural language
- high level
- machine learning