Workshop 3 - Text Data Analytics / NLP with Python

Presenter Information/ Coauthors Information

David Zheng, Dakota State University

Presentation Type

Workshop

Abstract

Workshop description: The hands-on workshop introduces the fundamentals of text data analytics and natural language processing (NLP) with Python libraries such as TensforFlow/Keras and the latest high-performing NLP models such as Transformer and BERT. All working documents are Jupyter Notebook files and will be provided (via downloads from a server) at the beginning of the workshop.

Outline of workshop:
1. NLP Basics
2. Sentiment Analytics with TensorFlow and Keras
3. Intro to Transformer and BERT
4. Text Classification with BERT
5. (Optional) Fine tune pre-trained BERT

Workshop instructions
1. Bring laptops (running code snippets with their own computers is expected of most participants)
2. Prior knowledge of basic computer programming is desirable. Prior knowledge in Python or Machine Learning is not required.
3. Prior installation of Python 3, Jupyter Notebook, and TensorFlow 2 is desirable. However, Installation instructions will be shared at the beginning of the workshop

Start Date

2-6-2023 1:00 PM

End Date

2-6-2023 5:00 PM

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Feb 6th, 1:00 PM Feb 6th, 5:00 PM

Workshop 3 - Text Data Analytics / NLP with Python

Pheasant Room 253 A/B

Workshop description: The hands-on workshop introduces the fundamentals of text data analytics and natural language processing (NLP) with Python libraries such as TensforFlow/Keras and the latest high-performing NLP models such as Transformer and BERT. All working documents are Jupyter Notebook files and will be provided (via downloads from a server) at the beginning of the workshop.

Outline of workshop:
1. NLP Basics
2. Sentiment Analytics with TensorFlow and Keras
3. Intro to Transformer and BERT
4. Text Classification with BERT
5. (Optional) Fine tune pre-trained BERT

Workshop instructions
1. Bring laptops (running code snippets with their own computers is expected of most participants)
2. Prior knowledge of basic computer programming is desirable. Prior knowledge in Python or Machine Learning is not required.
3. Prior installation of Python 3, Jupyter Notebook, and TensorFlow 2 is desirable. However, Installation instructions will be shared at the beginning of the workshop