intermediate Python • basics of Jupyter Notebook • basics of NLP
skills learned
use a transformer to create a classification tool • build a chatbot using Hugging Face library to classify user messages • use transformers to create a classifier to identify toxic messages and integrate this classification into a chatbot
In this liveProject you’ll develop a chatbot that can classify a user’s intent, using the Hugging Face NLP library. Your challenges will include building the task with the Bart transformer, and building a specialized task for detecting toxic language. You’ll then develop a Telegram bot and integrate it with your toxicity classification task.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
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project author
Giuliano Bertoti
Giuliano Bertoti holds a Master of Science in Electronic Engineering and Computing from the Aeronautics Institute of Technology in Brazil. He has been a professor of Software Engineering and other computer science disciplines for 14 years and has developed several projects in the field of Artificial Intelligence.
prerequisites
This liveProject is for intermediate Python programmers with some experience in natural language processing. To begin this liveProject you will need to be familiar with:
TOOLS
Intermediate Python
Basics of Jupyter Notebook
TECHNIQUES
Basics of natural language processing
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