Companies invest a significant amount of time and resources to discover and represent how they work into business processes models. However, traditional process mapping has been done in an ad hoc manner and tends to be resource-intensive and time-consuming due to the informal and ambiguous collection of process information. The Story Mining Method aims to address those problems by the union of free-form narratives about processes and the usage of Text Mining and Natural Language techniques for text translation into process models. This paper presents a case study of the method, detailing its implementation as well as major issues found on a practical scenario within an organization.
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