Text classification - ML on Web with MediaPipe: Episode 9

From the creator

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 → https://goo.gle/3GYxCcx Customize your text classification model → https://goo.gle/3tx18mw Try out the text classification models and options in MediaPipe Studio → https://goo.gle/3NHXrRV Learn more about WebAssembly → https://goo.gle/3tdEa3n View the complete text classification code demo → https://goo.gle/48sugdm MediaPipe Solutions → https://goo.gle/MediaPipe_Solutions Watch more Getting Started with MediaPipe for Web → https://goo.gle/MediaPipeforWeb Subscribe to Google for Developers → https://goo.gle/developers #ai #dev #googleai #machinelearning #developers #googlefordevelopers #mediapipe #textclassification #textclassifier #textclassificationmodels #textclassif

Published 2024-04-24 · Watch on YouTube ↗
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