Campus network public opinion sentiment analysis technology based on XLNet-BiGRU-Att algorithm

Key Points

• This research aims to develop a technology for sentiment analysis of public opinion in campus networks using a novel algorithm.
• Developed a sentiment analysis model utilizing XLNet-BiGRU-Att algorithm.
• Applied the model to campus network data for public opinion insights.
• Analyzed the performance of the algorithm compared to traditional methods.
• Demonstrated enhanced accuracy in sentiment detection compared to traditional techniques.
• Revealed significant insights into campus community views and sentiments.
• Showed potential for broader applications in public opinion analysis.