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Story Mining



A method which uses Group Storytelling to gather information, and uses Text Mining and Natural Language Processing (NLP) to analyse. Other design methods (Analogy, Expert Interview, Draw It, Collage) can be employed to inspire storytelling, and classify data.

Source: Gonçalves, Santoro, & Baião. (2010, April). A case study on designing business processes based on collaborative and mining approaches. Paper presented at 14th International Conference on Computer Supported Cooperative Work in Design. Retrieved from https://ieeexplore.ieee.org/abstract/document/5471899/authors#authors

By: João Carlos de A.R. Gonçalves, Flávia Maria Santoro, Fernanda Araujo Baião;

Use: Methods of defining Stakeholders' pain points and needs 

Case study: Undergraduate and graduate course enrollment at Dia/Unirio


'Story Mining is composed of three phases that start from concrete facts told by participants, continuing towards achieving abstractions and classifications of these facts, and ending with a process model. Its second phase comprises a sequence of task mining tasks, with the generation of a proto-model of the process. Automatic generation of proto-models is an essential part of the method, as it gives a better understanding to the modeler of the “process knowledge”contained at the story repository, thus making process elicitation and modeling easier and trustworthy. In the third phase, the analyst refines and validates the model with the story tellers, creating the final model.'


The Story Mining Method (Gonçalves, Santoro & Baião, 2010)

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