Ting Zhou

Title: Innovations of Ting Zhou in Fine-Grained Text Sentiment Analysis

Introduction

Ting Zhou is an accomplished inventor based in Hangzhou, China. He has made significant contributions to the field of sentiment analysis through his innovative methods. His work focuses on improving the accuracy of sentiment analysis by considering users' harshness in evaluating product attributes.

Latest Patents

Ting Zhou holds a patent titled "Method for analyzing fine-grained text sentiment based on users' harshness." This patent discloses a method for performing fine-grained text sentiment analysis by automatically extracting product attributes from user comments. The comments are then categorized according to these attributes, allowing for a more detailed analysis. An inference model that incorporates users' harshness as hidden variables is utilized, employing an expectation-maximization (EM) algorithm to enhance the accuracy of sentiment evaluation. This method addresses the challenges of overly broad analysis granularity and varying user harshness, enabling high-quality sentiment analysis of product comments.

Career Highlights

Ting Zhou is affiliated with Zhejiang Gongshang University, where he contributes to research and development in the field of sentiment analysis. His innovative approach has garnered attention and recognition within the academic community.

Collaborations

Ting Zhou collaborates with notable colleagues, including Xun Wang and Yili Fang, who contribute to his research endeavors. Their combined expertise enhances the quality and impact of their work in sentiment analysis.

Conclusion

Ting Zhou's innovative methods in fine-grained text sentiment analysis represent a significant advancement in the field. His patent and contributions to Zhejiang Gongshang University highlight his commitment to improving sentiment analysis accuracy.