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School of Chinese Scholar Seminar

Transforming Text Analysis with NLP and Generative AI:

From Fundamentals to Advanced Techniques

Abstract:

Natural Language Processing (NLP) and Generative AI technologies have become essential for analysing real-world text data. This workshop will explore the transformative power of NLP and large language models (LLMs) such as GPT, demonstrating their ability to uncover meaningful insights through simple examples. In this talk, I will discuss how NLP techniques can be used to analyse syntactic structures, semantic relationships, and extract meaning and context from text. The workshop will also showcase how sentiment analysis helps us interpret emotional tones and opinions, and how topic modelling assists with the identification of key themes in textual data. By tracing the evolution from traditional NLP methods to Generative AI approaches, this workshop will highlight the potential of these techniques in uncovering valuable information and insights from massive text data. It is hoped that the workshop will shed light on recent advances in computational text analysis and efficient data-driven discoveries. The workshop is suited for students, educators, and researchers in the arts and humanities and social sciences disciplines who would like to harness the power of NLP and Gen AI for analysing different types of textual data, such as literature, forum posts, translated works, policy documents, and others.

About the Speaker:

Yong-bin KANG is a senior data science research fellow at the ARC Centre of Excellence for Automated Decision Making and Society (ADM+S) at Swinburne University of Technology. With a PhD in AI from Monash University, his research focuses on Natural Language Processing (NLP) and generative AI techniques, exploring how these technologies can address real-world challenges across various domains. Yong-Bin is particularly interested in leveraging large language models to analyse text data, uncover insights, and drive innovation. He has extensive experience in developing AI-driven solutions for sectors such as healthcare, education, and disaster preparedness. With a strong background in AI and its societal applications, his research is dedicated to advancing the responsible and impactful use of generative AI and NLP technologies to address complex societal challenges.