Optimising the online marketing effectiveness perception using deep neural network integration with semantic mining

Key Points

• This research aims to enhance the perception of online marketing effectiveness through deep learning and semantic analysis techniques.
• Utilized deep neural networks integrated with semantic mining approaches.
• Analyzed data from various online marketing platforms.
• Implemented machine learning algorithms to assess effectiveness metrics.
• Achieved a significant increase in marketing effectiveness perception scores by 20% (p<0.01).
• Demonstrated higher engagement rates in campaigns utilizing optimized strategies compared to traditional methods.
• Provided insights into consumer behavior trends based on semantic analysis findings.

Abstract