Evaluation of Bidirectional LSTM for Short and Long-Term Stock Market Prediction

Computer Science

• Textual Feature 100%
• Bidirectional Long Short-Term Memory Network 100%
• Evaluation 100%
• Word Embedding 66%
• Classifier 66%
• Sentiment Classification 33%
• Feature Selection 33%
• Sentiment Analysis 33%
• Text Mining 33%
• Valuable Asset 33%
• Support Vector 33%
• Mining Technique 33%
• User-Generated Content 33%
• Social Media 33%
• Decision-Making 33%
• Model 33%
• Semantics 33%
• Linguistics 33%