AI Support & Agents

Text Classification

Definition

Text classification is the task of automatically assigning a category or label to a piece of text — such as tagging a support ticket by topic, language, or priority.

Also known as: text categorizationdocument classificationticket tagging

How it works

A model is given text and predicts one or more labels from a defined set. It can be trained on labeled examples (supervised learning) or, with modern LLMs, done zero-shot — you simply describe the categories in a prompt and the model classifies without task-specific training.

In support, classification powers automatic tagging, topic detection, language detection, and priority scoring. Intent recognition and sentiment analysis are both specialized forms of text classification.

Why it matters for support

Consistent classification is what makes ticket data usable: it feeds accurate routing, reliable reporting, and SLA prioritization. When AI tags tickets the same way every time, your dashboards and workflows can finally trust the labels — something manual tagging rarely delivers.

Frequently asked

Is intent recognition a type of text classification?

Yes. Intent recognition classifies a message by the customer's goal, and sentiment analysis classifies it by tone. Both are specialized applications of text classification.

Can AI classify tickets without training data?

Modern LLMs can do zero-shot classification — you describe the categories in a prompt and the model labels the text without any task-specific training examples, though a few examples (few-shot) often improve consistency.

Related terms

Intent Recognition

Intent recognition is the process of identifying what a customer is trying to accomplish from their message — such as "track an order," "request a refund," or "cancel a subscription" — so the system can route or resolve it correctly..

Sentiment Analysis

Sentiment analysis is the automated classification of the emotional tone of a message — typically positive, negative, or neutral — so teams can gauge how a customer feels and respond appropriately..

Zero-Shot Learning

Zero-shot learning is when an AI model performs a task it was never explicitly trained or given examples for, relying instead on the general knowledge it learned during pre-training and a clear description of the task..

Natural Language Processing (NLP)

Natural language processing (NLP) is the field of AI focused on enabling computers to understand, interpret, and generate human language — the foundation for tasks like intent recognition, sentiment analysis, and text classification..

Ticket Routing

Ticket routing is the process of directing incoming support tickets to the right agent, team, or queue based on rules like topic, channel, language, priority, or customer tier..

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