We develop and implement a web-based interactive visual NLP learning platform that enables learners to study neural network-based NLP techniques, topics, and applications. Specifically, our contribution is threefold: (1) Present popular neural network-based NLP analytics methods in an easy to comprehend step-by-step linear. (2) Eliminate the 'black box' problem found in NN-based NLP learning resources with continuous real data examples. (3) Enable users to interpret model outputs through interactive visual demos that apply neural network-based NLP method outputs.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Johnson, Daniel
• Gomes, Jack
• Yoder, Henry
• McMerriman, Garrett
• Prominski, John

Publisher

• Worcester Polytechnic Institute

Identifier

• 106471
• E-project-042723-152848

Keyword

• Visual
• NLP
• Neural Network
• Educational
• Web Platform
• Teaching

Advisor

• Ngan, Chun-Kit

Year

• 2023

Date created

• 2023-04-27

Resource type

• Major Qualifying Project

Major

• Computer Science
• Data Science

Source

• E-project-042723-152848

Rights statement

• In Copyright

Last modified

• 2023-06-23