AI Coding (Automated Open-End Coding)

Also known as: Verbatim Coding, Automated Thematic Analysis, NLP Coding, AI Tagging

Automated process where an AI model categorizes and codes open-ended survey responses, replacing manual coding.

AI Coding refers to the use of natural language processing models and LLMs to automatically analyze, categorize, and code open-ended responses (verbatims) from surveys and interviews.

Traditionally, verbatim coding is one of the most time-consuming and costly steps in qualitative analysis: an analyst must read each response, assign one or more categories (codes), and then quantify the most frequent themes. With AI, this process can be completed in minutes for thousands of responses.

The most advanced models not only categorize but also detect sentiment, emotional intensity, emerging themes, and subtopics the researcher had not considered a priori (inductive topic modeling).

Atlantia uses AI Coding as part of its platform to reduce open-end analysis time by up to 90%, with human validation to ensure the quality of coding frameworks.