Text Classification with Machine Learning
Build text classifiers for detecting topic, sentiment, intent, urgency and more. Analyze your text data in seconds, not weeks!
- Topic Labeling
- Sentiment Analysis
- Intent Detection
Text Example
“I ordered a Nintendo and Donkey Kong from your store last week. I’m furious to find out that the tracking number doesn’t work and my order might be lost. Please respond ASAP.”
How to Build Custom Classifiers
Easily build and train a machine learning model to tag and classify your text.
1. Upload Data to MonkeyLearn
Create a model and import your text data by uploading files directly or by connecting with third-party apps.
2. Define Tags
Define the tags you will use for the classifier. These tags will be used to classify or categorize text by your criteria.
3. Tag & Train
Train the classifier by selecting the appropriate tag for each text that appears. The classifier will begin to learn right before your eyes.
4. Evaluate & Improve
Test your trained model to see predicted tags. Improve the classifier by tagging more data or working in your model metrics.
5. Put Your Classifier to Work
Use your new classifier to analyze new or historical texts. Either upload a file to process text in a batch, use integrations with third-party apps, or our API to classify text automatically.
