Use case
Text classification
Categorize text data, train models to produce contextually accurate responses, or fine-tune models to classify inputs into specialized categories and predefined classes of text.
Why Labelbox for text classification
Accelerate AI alignment
Combine model assisted labeling and human expertise to quickly prepare data for training, testing and validation.
Generate high quality datasets
Optimize custom labeling and review workflows to ensure the highest quality data for model training and fine-tuning.
Maintain data privacy & security
Keep full ownership, transparency, and control over your data throughout the AI development process.
Boost your AI expertise
Supercharge your data engine with the help of Labelbox AI experts and on demand labeling services.
Understanding text classification
Text classification enhances a model's understanding of context and intent. By classifying text into categories, apps and generative models are able to produce more accurate, relevant, and coherent responses based on user inputs.
Challenges in text classification tasks
Language itself consists of diverse tones, contextual cues, and emotions—all which add to the complex nature of training AI models to understand and provide nuanced and accurate responses to user prompts.
Text classification with Labelbox
Labelbox’s advanced tools, coupled with our comprehensive network of annotators, enable you to create data that captures the nuances of language, leading to generative models that truly understand and respond to the needs of users.
Customer spotlight
Labelbox's intuitive tooling coupled with post-training labeling services offered a collaborative environment where Speak's internal team, along with external data annotators, could work together seamlessly. Learn more about how Speak uses Labelbox to improving the quality and efficiency of their data labeling.
