Deep sentiments in Roman Urdu text using Recurrent Convolutional Neural Network model.
Zainab MahmoodIqra SafderRao Muhammad Adeel NawabFaisal BukhariRaheel NawazAhmed S. AlfakeehNaif Radi AljohaniSaeed-Ul HassanPublished in: Inf. Process. Manag. (2020)
Keyphrases
- neural network model
- sentiment analysis
- network architecture
- neural network
- sentence level
- positive or negative
- deep learning
- artificial neural networks
- text mining
- textual content
- opinion mining
- polarity classification
- multi lingual
- text processing
- bp neural network
- information retrieval
- sentiment classification
- input variables
- multilayer perceptron
- neural models
- feed forward
- text retrieval
- back propagation neural network
- social media
- natural language processing
- rbf neural network
- using artificial neural networks
- text documents
- growing neural gas
- learning algorithm
- language identification
- recurrent neural networks
- hopfield network
- text classification
- keywords
- genetic algorithm
- keyword extraction
- dynamic characteristics