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.
This is a browser-based AI text classifier. It uses a simple statistical method to train a model directly in your browser to categorize text into "positive" or "negative" sentiments without sending any of your data to a server. The model learns from the examples you provide and can then predict the category of new text. Users can use the AI text classifier tool in over 50 languages.
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."
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Please read the Application User Guide before using the app for a better understanding of the app.