Mengdie Hu

Title: Mengdie Hu: Innovator in Trust Modeling and Text Mining

Introduction

Mengdie Hu is a notable inventor based in Atlanta, GA (US). He has made significant contributions to the fields of text mining and trust modeling. With a total of 3 patents, his work focuses on extracting valuable insights from textual data and establishing trust in digital communications.

Latest Patents

One of Mengdie Hu's latest patents is titled "Mining product aspects from opinion text." This invention involves receiving a text stream containing multiple sentences and parsing them to identify subject-verb-object (SVO) triples. By selecting sentences with identified verbs that match predefined criteria, the invention identifies aspect candidates, tokenizes and normalizes them, and generates n-grams to determine their frequency. This process allows for the selection of significant aspects based on their occurrence in the text.

Another significant patent is "Action based trust modeling." This invention assesses the characteristics of messages and their recipients to establish a trust model. It considers various trust antecedents, including message characteristics and recipient properties, along with action motivations. The resulting trust measurement gauges the recipient's perception of credibility towards the received message.

Career Highlights

Mengdie Hu is currently employed at International Business Machines Corporation (IBM). His work at IBM has allowed him to explore innovative solutions in technology and contribute to advancements in his field. His expertise in text mining and trust modeling has positioned him as a valuable asset to the company.

Collaborations

Mengdie Hu has collaborated with notable colleagues, including Huahai Yang and Michelle Xue Zhou. These collaborations have fostered a productive environment for innovation and have led to the development of impactful technologies.

Conclusion

Mengdie Hu's contributions to text mining and trust modeling demonstrate his commitment to advancing technology. His patents reflect a deep understanding of the complexities of language and trust in digital communications. Through his work at IBM and collaborations with talented colleagues, he continues to make strides in his field.