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Automatic Persona Generation

Giving Faces to Data: Creating Data-Driven Personas from Personified Big Data

APG logo with three team members
Giving Faces to Data: Creating Data-Driven Personas from Personified Big Data

Creating personas from large amounts of online data is useful but difficult with manual methods.

To address this difficulty, we present Automatic Persona Generation (APG), which is an implementation of a methodology for quantitatively generating data-driven personas from online social media data.

APG is functional, and it is deployed with several organizations in multiple industry verticals.

APG employs a scalable web front-end user interface and robust back-end database framework processing tens of millions of user interactions with tens of thousands of online digital products across multiple online platforms, including Facebook, Google Analytics, and YouTube.

APG identifies audience segments that are both distinct and impactful for an organization to create persona profiles. APG enhances numerical social media data with relevant human attributes, such as names, photos, topics, etc. Here, we discuss the architecture development and central system features.

Overall, APG can benefit organizations in distributing content via online platforms or with online content that relates to commercial products. APG is unique in its algorithmic approach to processing social media data for customer insights. APG can be found online at https://persona.qcri.org.

Here is a nice two pager about the Automatic Persona Generation (APG) system!

Jung, S.G., Salminen, J., and Jansen, B. J. (2020) Giving Faces to Data: Creating Data-Driven Personas from Personified Big Data. ACM Conference on Intelligent User Interfaces (IUI2020)(Demo Paper), Cagliari, Italy. 17-20 March, 132-133

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Automatic Persona Generation Benefits of Personas Data-Driven Personas Persona Analytics Persona Creation Persona System Use of Personas Value of personas

9 Benefits of Data-Driven Personas

Introduction to Data-Driven Personas

Automatic Persona Generation (APG) is a system developed by the persona research team at Qatar Computing Research Institute. APG is defined both as a methodology and a system for automatic creation of personas from online analytics data.

Automatic Persona Generation has specifically been developed to address the limitations of manual persona creation. This blog post details the main benefits of data-driven personas compared to manually created personas.

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Data-Driven Personas Persona Research Persona System

Imaginary People Representing Real Numbers: Generating Data-Driven Personas Using the APG System

Using the APG system for automatic persona creation from real data is both a working system and an on-going research project. With APG, we have developed a methodology to automate the creating of imaginary people. These imaginary people are personas. We do this by processing complex behavioral and demographic data of social media audiences.