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# PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing
By [Jon Saad-Falcon](https://www.linkedin.com/in/jonsaadfalcon/), [Omar Shaikh](https://www.linkedin.com/in/oshaikh13/), [Jay Wang](https://zijie.wang/), [Austin Wright](https://austinpwright.com/), [Sasha Richardson](https://www.linkedin.com/in/sasha-richardson/), and [Polo Chau](https://poloclub.github.io/polochau/).
# PeopleMap

# Overview
Discovering research expertise at institutions can be a difficult task. Manually curated university directories easily become out of date and often lack the information necessary to understand a researcher’s interests and past work, making it harder to explore the diversity of research at an institution and pinpoint potential collaborators, resulting in lost opportunities for both internal and external entities to discover new connections and nurture research collaboration.
A visualization Tool for Mapping Out Researchers using Natural Language Processing. Brought to you [Jon Saad-Falcon](https://www.linkedin.com/in/jonsaadfalcon/), [Omar Shaikh](https://www.linkedin.com/in/oshaikh13/), [Jay Wang](https://zijie.wang/), [Austin Wright](https://austinpwright.com/), [Sasha Richardson](https://www.linkedin.com/in/sasha-richardson/), and [Polo Chau](https://poloclub.github.io/polochau/).

To solve this problem, we have developed PeopleMap, the first interactive, open-source, web-based tool that visually “maps out” researchers based on their research interests and publications by leveraging embeddings generated by natural language processing (NLP) techniques. PeopleMap provides a new engaging way for institutions to summarize their research talents and for people to discover new connections. PeopleMap is developed with ease-of-use and sustainability in mind. Using only researchers’ Google Scholar profiles as input, PeopleMap can be readily adopted by any institutions using its publicly-accessible repository and detailed documentation.

<a href="https://poloclub.github.io/people-map/ideas/" target="_blank"><img src="PeopleMap.png" style="max-width:100%;"></a>

PeopleMap is the first interactive, open-source, web-based tool that visually “maps out” researchers based on their research interests and publications by leveraging embeddings generated by natural language processing (NLP) techniques. To generate a PeopleMap, you only need to provide the researchers’ Google Scholar profile URLs.

Discovering research expertise at institutions can be a difficult task. Manually curated university directories easily become out of date and often lack the information necessary to understand a researcher’s interests and past work, making it harder to explore the diversity of research at an institution and pinpoint potential collaborators. PeopleMap solves these problems!


# Live Demo
Click the following links to access two live demos:

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https://app.gitbook.com/@poloclub/s/people-map/

# Credit
PeopleMap was created by [Jon Saad-Falcon](https://www.linkedin.com/in/jonsaadfalcon/), [Omar Shaikh](https://www.linkedin.com/in/oshaikh13/), [Jay Wang](https://zijie.wang/), [Austin Wright](https://austinpwright.com/), [Sasha Richardson](https://www.linkedin.com/in/sasha-richardson/), and [Polo Chau](https://poloclub.github.io/polochau/). We would also like to thank everyone in the [Polo Club of Data Science](http:https://poloclub.gatech.edu) for assisting us in the development of the project.
PeopleMap was created by [Jon Saad-Falcon](https://www.linkedin.com/in/jonsaadfalcon/), [Omar Shaikh](https://www.linkedin.com/in/oshaikh13/), [Jay Wang](https://zijie.wang/), [Austin Wright](https://austinpwright.com/), [Sasha Richardson](https://www.linkedin.com/in/sasha-richardson/), and [Polo Chau](https://poloclub.github.io/polochau/) from Georgia Tech.

We thank everyone in the [Polo Club of Data Science](http:https://poloclub.gatech.edu) for assisting us in the development of the project.

# License

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