Zihong Yang

Title: Zihong Yang: Innovator in Social Media Sentiment Analysis

Introduction

Zihong Yang is a prominent inventor based in Guangzhou, China. He has made significant contributions to the field of social media analysis through his innovative methods. His work focuses on enhancing the accuracy of sentiment analysis in social media tweets.

Latest Patents

Zihong Yang holds a patent for a specific target-oriented social media tweet sentiment analysis method. This method involves preprocessing social media tweet data to obtain a target text and a specific target. It utilizes an embedding layer to generate word vectors for both the target text and the specific target. The process includes passing the target text word vectors through a self-attention structure to achieve a self-attention result. The self-attention result is then combined with the specific target word vector and processed through a cross-attention structure to obtain cross-attention results. Finally, the attention representation matrix is created and passed through a pooling layer, a fully connected layer, and a softmax layer to determine the sentiment tendency of the specific target. This method leverages an attention mechanism within the transformer structure, improving analysis accuracy.

Career Highlights

Zihong Yang is affiliated with Jinan University, where he continues to advance his research and development in the field of social media analytics. His innovative approach has garnered attention in academic and professional circles.

Collaborations

Zihong Yang collaborates with notable colleagues, including Feiran Huang and Tingrong Zhi. Their combined expertise contributes to the advancement of research in sentiment analysis and related fields.

Conclusion

Zihong Yang's contributions to social media sentiment analysis demonstrate his innovative spirit and commitment to improving analytical methods. His work not only enhances the understanding of social media dynamics but also sets a foundation for future advancements in the field.