Lecture: Applying embedding approaches to chatbot application

Content

• Word2vec-based question and answer chatbot application

Lecture guest

• Name: Vision(Xin) Wang
• Email: [email protected]

Feel free to contact me if you have any questions

Introduction

In this lecture, we will study how to generate text embedding using Gensim and apply word2vec model to create a question-answer chatbot application constructed with Streamlit framework.

Assignment

• Students need to package all necessary components into the whole chatbot application.
• Students need to publish the packaged chatbot application through Streamlit Cloud and submit app url to Brightspace.
• The submitted word2vec-based question-answer chatbot application will be evaluated by query questions, listed in assignment guidance.
• More details can be found in assignment guidance.

Related chatbot application example

• Patient experience chatbot application: https://xin-wang-kr.github.io/px-collection-AI-chatbot/
• App url: https://app-ai-chatbot-xwang.streamlit.app/