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Large Language Model Applications in Sustainability

Posted on: Fri Dec 02 2022

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TOPIC
Large Language Model Applications in Sustainability

DATE AND TIME
Friday 2 December 2022, 11:30am - 12:30pm

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ABSTRACT
In this talk, the speaker will introduce FinBERT, a state-of-the-art large language model that adapts to the finance domain. It has been shown that, when it comes to sentiment classification, FinBERT significantly outperforms the Loughran and McDonald dictionary as well as other machine learning algorithms, such as naive Bayes, support vector machine, random forest, convolutional neural networks, and long short-term memory. FinBERT incorporates finance knowledge and can better summarize contextual information in financial texts. The speaker will also discuss FinBERT’s performance in several tasks, including ESG topic classification.

SPEAKER BIOGRAPHY
Prof. Allen Huang received his Bachelor of Science in Electronics and Information System and Technology from Peking University in 2001. He then studied the MS in Electrical & Computer Engineering at George Mason University focusing on Communications and Networking between 2001 and 2002. He graduated with a Ph.D. in Business Administration at Duke University in 2007. Afterward, he worked in the Quantitative Equity Strategy group at Lehman Brothers and Barclays Capital in New York until 2009. He has been working at the Department of Accounting at The Hong Kong University of Science and Technology as an Assistant and then Associate Professor since 2009. He is currently the Associate Dean of the School of Business and Management (Undergraduate Programs), the Associate Director of the Center for Business and Social Analytics, the Director of the Karen Lee Student Mentoring Center, and a Faculty Associate of the Institute for Emerging Market Studies of HKUST.

ABOUT THE WEBINAR SERIES
This is part 4 of a 5-part webinar series featuring leading academic and industry experts in sustainability, green finance, artificial intelligence, information systems, big data analytics, machine learning, and large-scale data processing. Students interested in the CBSA-Wisers Analytics Challenge @HKUST 2022/23 are highly encouraged to attend the webinars.

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CONTACT US
Center for Business and Social Analytics
Rm 6061, Lee Shau Kee Business Building, HKUST
+852 3469 2637
cbsa@ust.hk