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The difficulties associated with the collection and analysis of open-ended questions in surveys (e.g. “Tell us your opinion about ... ”), have encouraged the widespread use of closed-ended responses (e.g. “Your opinion according to a scale of 1-5 ... ”). These, in some circumstances, are very restrictive, curbing the recognition of nuances in the survey population, hence limiting our models. Latent Dirichlet Allocation (LDA), now opens avenues for extraction of open-ended responses. In this paper, we analyze the potential of LDA in open-ended responses, by comparing with closed-ended counterpart options. A questionnaire designed based on Theory of Planned Behavior (TPB), is used to collect information on the intentions to use shared autonomous mobility. Two versions of the questionnaire were used, that alternately allow for open- and closed-ended versions of the same questions. Factor analysis was used to …