Text Classification

Text Classification is an AI/ML technique that automatically assigns predefined categories (labels) to unstructured text data, like filtering email as “spam” or routing customer feedback as “urgent.”

Text Classification is a core Natural Language Processing (NLP) task: it uses supervised machine learning to structure massive, unstructured text datasets. The process involves training algorithms (e.g., Naive Bayes, Support Vector Machine, or fine-tuned BERT models) on labeled examples to automatically assign predefined categories. This capability enables high-volume, real-time applications: instantly classifying thousands of customer support tickets by intent (“Billing,” “Technical Issue”) or performing sentiment analysis on social media with high accuracy. It transforms raw text into organized, actionable data, driving immediate business intelligence and efficiency.

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