Beijing, China

Minlong Peng

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):

Title: Minlong Peng: Innovator in Sentiment Analysis and Machine Learning

Introduction

Minlong Peng is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of artificial intelligence, particularly in sentiment analysis and machine learning. With a total of two patents to his name, Peng is recognized for his innovative approaches to parsing sentiment and selecting annotated samples.

Latest Patents

Minlong Peng's latest patents include a sentiment parsing method, electronic device, and storage medium. This invention provides a sentiment parsing method and apparatus that relates to the technical field of artificial intelligence, including machine learning and natural language processing. The method involves identifying the role of a sentiment parsing object in a specified statement, trimming the statement based on this role, and parsing the sentiment of the object based on the resulting information. His second patent focuses on a method for selecting annotated samples, which includes determining attributes of sample characteristics and selecting a target annotated sample to train a classification model for emotion polarity analysis.

Career Highlights

Minlong Peng is currently employed at Beijing Baidu Netcom Science Technology Co., Ltd. His work at Baidu has allowed him to explore and develop advanced technologies in the realm of artificial intelligence. His contributions have been instrumental in enhancing the capabilities of sentiment analysis tools and methodologies.

Collaborations

Minlong Peng has collaborated with notable colleagues, including Mingming Sun and Ping Li. These collaborations have fostered an environment of innovation and have led to the development of cutting-edge technologies in their respective fields.

Conclusion

Minlong Peng is a key figure in the advancement of sentiment analysis and machine learning technologies. His patents reflect his commitment to innovation and his contributions to the field will continue to influence future developments.

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