SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification.
Changzeng FuChaoran LiuCarlos Toshinori IshiYuichiro YoshikawaHiroshi IshiguroPublished in: ICSC (2020)
Keyphrases
- text classification
- neural network
- semantic features
- auto associative
- feature selection
- text categorization
- text representation
- bag of words
- neural network model
- text mining
- machine learning
- text documents
- naive bayes
- text data
- artificial neural networks
- knn
- hopfield neural network
- semantic web
- visual features
- semantic information
- high level
- fault diagnosis
- sentiment analysis
- data cleaning
- n gram
- semantic similarity
- associative memory
- neural network is trained
- text classifiers
- labeled data
- automatic text classification
- semantic network
- memory requirements
- semantic annotation
- multi label
- recurrent neural networks
- low level features
- radial basis function
- main memory
- natural language
- self organizing maps
- back propagation