DELEA-XLNet: double exponential lotus effect optimisation algorithm-based XLNet for consumer sentiment analysis

Key Points

• To enhance consumer sentiment analysis through the DELEA-XLNet optimisation algorithm.
• Developed a new double exponential lotus effect optimisation algorithm.
• Integrated the algorithm with XLNet for improved performance.
• Conducted analyses on sentiment data related to consumers.
• Observed significant improvements in sentiment analysis accuracy.
• Demonstrated efficiency in handling large datasets with the new algorithm.

Abstract