Development and Release of an Automatic Coding System of Answers to Open-ended Questions in Social Surveys

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When we collect occupation data by open-ended questions in social surveys, we need to categorize those data for statistics processing. Conducting the occupation coding manually is time-consuming and complicated. Therefore, we have developed a Web-basedautomatic occupation coding system for both Japanese standard categories and international standard categories with Natural Language Processing and Machine Learning.When researchers upload an occupation data file on a website, they can obtain desired occupation codes files with confidence. The system can also be applied to industry data.