  Analyzing open-ended survey responses is a crucial yet challenging task for
social scientists, non-profit organizations, and educational institutions, as
they often face the trade-off between obtaining rich data and the burden of
reading and coding textual responses. This demo introduces FeedbackMap, a
web-based tool that uses natural language processing techniques to facilitate
the analysis of open-ended survey responses. FeedbackMap lets researchers
generate summaries at multiple levels, identify interesting response examples,
and visualize the response space through embeddings. We discuss the importance
of examining survey results from multiple perspectives and the potential biases
introduced by summarization methods, emphasizing the need for critical
evaluation of the representation and omission of respondent voices.

Computation and Language