Natural Language Processing (NLP) enables computers to process and analyze text data. For return classification, NLP models read customer feedback, support chat transcripts, or return form text to determine return reasons. Modern NLP uses transformer architectures (like BERT or GPT) that understand context and nuance, allowing accurate classification of informal or misspelled customer responses.
← Glossary
Natural Language Processing
A branch of AI that helps computers understand, interpret, and generate human language.
Related terms
- AI Classifier — A machine learning model that automatically categorizes inputs—like return reasons or customer feedback—into predefined groups.
- Sentiment Analysis — AI that determines whether customer text expresses positive, negative, or neutral emotions.
- Training Data — The labeled examples used to teach an AI model how to categorize returns correctly.
- Feature Engineering — The process of selecting and transforming raw data into the most useful inputs for an AI model.