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The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.
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This repository contains a Python script for training, evaluating, and deploying a Natural Language Processing (NLP) model for classifying compliments in Turkish language. The model is trained using the Multinomial Naive Bayes algorithm and is saved in ONNX and Joblib formats for deployment.
🛠️ BuggyBuddy Model Builder [Microservice] is a component of the BuggyBuddy project, serving as a Model Builder (Create, Train, Evaluate, Save). This Model Builder is designed to automatically train new models when new data is available, ensuring that the model remains relevant.