Leveraging applied linguistics with stacked convolutional autoencoder for Arabic sentiment analysis and text-to-speech accessibility for visually impaired people

Computer Science

• Sentiment Analysis 100%
• Autoencoder 100%
• Visually Impaired People 100%
• Text To Speech 100%
• Speech Synthesis 33%
• Leaning Parameter 16%
• Data Preprocessing 16%
• Word Embedding 16%
• Optimization Algorithm 16%
• Selection Process 16%
• classification result 16%
• Classification Process 16%
• Word2vec 16%
• Speech Processing 16%

Engineering

• Autoencoder 100%
• Opinion Mining 100%
• Metrics 33%
• Input Data 33%
• Selection Process 33%
• Classification Process 33%
• Data Preprocessing 33%
• Dimensional Space 33%
• Speech Processing 33%

Mathematics

• Opinion Mining 100%
• Manifold 33%
• Dimensional Space 33%
• Word Embedding 33%
• Input Data 33%