Company Filing History:
Years Active: 2023
Title: Innovations of Yuanchen Bei in Text Sentiment Analysis and Social Recommendation
Introduction
Yuanchen Bei is an accomplished inventor based in Guangzhou, China. He has made significant contributions to the fields of text sentiment analysis and social recommendation systems. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of data processing through innovative methodologies.
Latest Patents
Yuanchen Bei's latest patents include a "Text sentiment analysis method based on multi-level graph pooling." This method involves several steps, such as preprocessing target text and constructing a graph for each text independently. The process utilizes collocate point mutual information as edge weights between word nodes. A multi-level graph pooling model is then constructed, which includes a gated graph neural network layer and two graph self-attention pooling layers. This innovative approach allows for the extraction of both low-level and high-level features, ultimately leading to a final sentiment category output based on maximum probability values.
Another notable patent is the "Social recommendation method based on multi-feature heterogeneous graph neural networks." This method extracts attribute information from users and topics, processing this information through a multi-layer perceptron to obtain initial feature vectors. By establishing a heterogeneous graph with users and topics as nodes, the method performs information transmission using an attention mechanism. This comprehensive approach enhances recommendation accuracy and improves user experience by deeply fusing user features and interested topics.
Career Highlights
Yuanchen Bei is currently affiliated with Jinan University, where he continues to advance his research and development in innovative technologies. His work has garnered attention for its practical applications in enhancing user interaction and data analysis.
Collaborations
Yuanchen Bei collaborates with notable colleagues, including Feiran Huang and Zhiquan Liu. Their combined expertise contributes to the development of cutting-edge solutions in their respective fields.
Conclusion
Yuanchen Bei's contributions to text sentiment analysis and social recommendation systems exemplify the impact of innovative thinking in technology. His patents reflect a commitment to improving data processing methodologies, ultimately enhancing user experiences in various applications.