Sentiment Analysis Using Hybrid Model of Stacked Auto-Encoder-Based Feature Extraction and Long Short Term Memory-Based Classification Approach.
Iqra KanwalFazli WahidSikandar AliAteeq Ur RehmanAhmed AlkhayyatAkram Al-RadaeiPublished in: IEEE Access (2023)
Keyphrases
- high dimensional
- short term
- sentiment analysis
- hybrid model
- feature extraction
- feature space
- long term
- support vector machine svm
- arima model
- text classification
- opinion mining
- feature vectors
- sentiment classification
- feature selection
- support vector machine
- short term and long term
- classification accuracy
- pattern recognition
- nearest neighbor
- machine learning
- sentence level
- artificial neural networks
- image processing
- long term memory
- load forecasting
- back propagation neural network
- text mining
- feature set
- model selection
- online reviews
- product reviews
- training data
- support vector regression
- training set
- forecasting model
- wind speed
- hybrid models
- bit rate
- decision trees
- face recognition
- supervised classification
- expert systems
- short and long term
- knowledge discovery