Text classification - ML on Web with MediaPipe: Episode 9

Опубликовано 24 апреля 2024, 13:10

Discover how MediaPipe's Text Classifier task can accurately categorize text into predefined categories, such as positive or negative sentiment, topics, or intents.

Key takeaways:
- Understand the basics of text classification: Learn how machine learning is used to analyze text data and identify patterns.
- Explore the MediaPipe Text Classifier task: Discover how this tool can be used to train and deploy custom text classification models.
- Classify text in real-time: Learn how to use the Text Classifier task to classify text input in your web browser.

Whether you're building a sentiment analysis tool, a chatbot, or simply want to add interactive text features to your website, this tutorial will provide you with all the essentials to get started.

Resources:
View available text classifier models → goo.gle/3GYxCcx
Customize your text classification model → goo.gle/3tx18mw
Try out the text classification models and options in MediaPipe Studio → goo.gle/3NHXrRV
Learn more about WebAssembly → goo.gle/3tdEa3n
View the complete text classification code demo → goo.gle/48sugdm
MediaPipe Solutions → goo.gle/MediaPipe_Solutions

Watch more Getting Started with MediaPipe for Web → goo.gle/MediaPipeforWeb
Subscribe to Google for Developers → goo.gle/developers

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Products Mentioned: MediaPipe