Data-Driven newsletter

Client 

Category

IBM

Data Storytelling

Changing the newsletter format

For this project, I combined the art of storytelling, data design, NLP algorithms, and IBM Watson Natural Language Understanding to innovate the mainstream way to do newsletters.

By extracting additional meaning from the stories I would write for the newsletter, I wanted to provide readers with a second layer of information that exists behind the text itself.

 

I empowered readers with the ability to see the patterns existing in the text’s words by visualizing the structure and semantics of the words used in the newsletter. In this way, I transformed the data generated as the output of a model into a compelling and unusual visual story.

Every week I would use neglected data sets to unveil overlooked stories as well as process the words of the issue to use an algorithm to generate new data that I could use for my visual stories. 

Following this concept, I came up with a visual way to represent all this information and attached a legend to every visual story to encourage people to take the time to explore the data and go deeper into the details.

 

The ultimate purpose of this experiment, which kept going for several weeks with several visual data narratives, was to find new ways to make AI and ML technologies more accessible to a broader audience of non-experts and to create new strategies to communicate the content generated by algorithms and models.

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The Data Behind the Words 

To give readers the ability to see the patterns existing in the text’s words, I combined NLP techniques, IBM Watson NLU, and data design to visualize the structure and semantics of the words used in the newsletter. In this way,

 

I transformed the data generated as the output of a model into a compelling visual story.

As soon as I created and applied the first NLP algorithm to the text, I realized how many overlooked patterns existed between the words used by the people I interviewed: NLP illuminated the human side of the words chosen and returned people a new way to explore a written text more in-depth.

To learn more about this project and the collaboration with the data scientists, read my blog

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