Abstract
Survey coding is the process of analyzing text responses to open-ended questions in surveys. We present SurveyCoder, a research prototype which helps the survey analysts to achieve significant automation of the survey coding process. SurveyCoder’s multi-label text classification algorithm makes use of a knowledge base that consists of linguistic resources, historical data, domain specific rules and constraints. Our method is applicable to surveys carried out in different domains.
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Patil, S., Palshikar, G.K. (2013). SurveyCoder: A System for Classification of Survey Responses. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2013. Lecture Notes in Computer Science, vol 7934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38824-8_52
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DOI: https://doi.org/10.1007/978-3-642-38824-8_52
Publisher Name: Springer, Berlin, Heidelberg
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