Introduction to NLP and Topic Modeling

Abstract: 

Modern world, there are a lot of demand for NLP experts who are able to cook with text data and to produce useful analysis results in various business circumstances. Moreover, this industry demand is expected to increase sharply in the near future because NLP and NLU R&D fields have been produced remarkable achievements recently such as transfer learning for NLP.

This session is for those who want to learn the basic introduction of analyzing text data, more advanced NLP handling techniques – word vector, and topic modeling. By completing this session, you will become familiar and comfortable with the basic concepts and techniques for how to start a NLP modeling. Plus, you should be able to understand topic modeling and its commonly used methodologies.

Bio: 

Sunny is a seasoned professional data scientist, with over 15 years of relevant experience, and successful completion of significant company-onsite projects for many respected companies in South Korea and the US. Significant experience and dynamic practitioner in various domains, including NLP project lead, credit risk modeling, financial distress modeling, customer marketing prediction, and ML service provider consultation. She is passionate about creating and building AI solutions applying a variety of NLP technologies including sentiment analysis, conversational computing, topic modeling, etc. to support AI real-world usages for SME businesses. She is currently putting her efforts into her own AI start-up company – ReviewMind Inc. In 2020, her company was identified as an excellent start-up case by Korea Women in Science and Technology Support Center. Sunny and her team also won the best award in the 2021 Start-up Demo Day from the Korea Institute of Startup & Entrepreneurship Development. Sunny holds both a Masters in Data Science (Information Systems) and an MBA from the US and South Korea respectively.

Open Data Science

 

 

 

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