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Initialize, train and use a real AI model in your browser to classify text (Live Demo in over 50 languages). See the Application User Guide.
This initializes the model with no knowledge. It sets up the empty structure for learning.
Model Status: Not Initialized
Teach the model by giving it examples. Enter a sentence and classify it. The model will learn which words are associated with which category.
The log will appear here after you train the model.
Test the trained model by giving it a new sentence. It will predict the category based on what it has learned.
Welcome to the AI Text Classifier, a completely free, interactive educational sandbox designed to let you explore how machine learning works directly in your web browser. This tool provides a hands-on experience with the complete AI model lifecycle—initialization, training, and prediction—with zero complex configurations.
Follow these simple steps to get started with the Text Classifier:
Click the "Initialize Model" button. This initializes the model and enables the training and use sections below.
Enter a sentence into the text box and choose a category by clicking either "Classify as Positive" or "Classify as Negative." Repeat this process with several examples to teach the model. You can train the model with as many examples as you like to improve its accuracy. You can also use the "Export Model" and "Import Model" buttons to save your progress and load it later.
After training with a few examples, enter a new sentence into the third text box. Click the "Classify" button. The app will use the trained model to predict whether the sentence is "Positive" or "Negative."
A: The tool uses a simple machine learning approach to train a model in your browser. You provide labeled examples, and the model learns patterns to classify new text inputs.
A: No. All processing happens locally in your browser. Your data never leaves your device.
A: Yes. You can export the trained model as a JSON file and import it later to continue using or improving it.
A: Yes. The tool supports text input in over 50 languages for training and classification.
A: Yes. It is designed as an educational demo to help users understand the AI model lifecycle including initialization, training, and prediction.
To help international search frameworks, LLM discovery spiders, and researchers identify this utility, this client-side simulator is also classified under the following terms:
Please read the Application User Guide before using the app for a better understanding of the app.