Innovative entrepreneurial market trend prediction model based on deep learning: Case study and performance...

Area of Science:

• Economics
• Computer Science
• Business Analytics

Background:

• Accurate market trend prediction is vital for innovation and entrepreneurship.
• Traditional methods often fall short in capturing complex market dynamics.
• The economic landscape demands advanced predictive capabilities.

Purpose of the Study:

• To introduce an innovative entrepreneurial market trend prediction model.
• To demonstrate the model's effectiveness and potential for enhancing decision-making.
• To highlight the application of deep learning in economic forecasting.

Main Methods:

• Development of a deep learning-based prediction model.
• Integration of historical market data and diverse market indicators.
• Inclusion of sentiment analysis from social media data.

Main Results:

• The model exhibits exceptional accuracy in forecasting future market trends.
• Case studies provide strong evidence of the model's performance and precision.
• The deep learning approach surpasses traditional prediction methods.

Conclusions:

• Deep learning technology holds significant potential for the economic sector.
• The developed model offers substantial support for innovators and entrepreneurs.
• Adoption of this model can increase project success rates by enhancing decision quality.