Labelf is a no code AI text classification tool for training models on your data to analyze customer support interactions in over 100 languages.

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Labelf is for customer support and customer experience teams that need to understand large volumes of customer conversations without reviewing them one by one. It analyzes support tickets, calls, emails, and chats, turning conversation text into categories teams can use to spot recurring issues and understand customer experience. Teams can create AI classification models by describing what they want to identify and defining their own labels—for example, contact reasons, sentiment, urgency, or whether an issue was resolved. Models can classify individual messages or full conversations, and support more than 100 languages. Labelf also provides search and dashboards for exploring conversations and tracking patterns in the results. It may suit organizations that want to automate conversation tagging and analyze customer interactions across multiple channels and languages.

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