Trusted Text Classification from Concept to Deployment | NLP Workshop Capstone

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=yb4mqoqXTcY


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Let's Play
Duration: 10:54
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This video is created by the participants of our NLP workshop. You can create applications like this too; see more details here: https://ai.science/

An overview of building a fully deployed trusted text classification application. The model extracted text features through a CountVectorizer (Bag of words) and Term Frequency-Inverse Document Frequency (TD-IDF). The Support Vector Machine (SVM) model demonstrated high accuracy results. Trust in the model was validated through LIME (Local Model Agnostic Explainer). Technology Stack: SciKit Learn/Flask/Python/NLTK

Team:
https://www.linkedin.com/in/barothet/
https://www.linkedin.com/in/elsharifali/
https://www.linkedin.com/in/kbennatti/
https://www.linkedin.com/in/mahmoud-a-44a2232a/



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Tags:
deep learning
machine learning
nlp
natural language processing
text classification
question answering
mlops
deployment
ai
ml