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Visualization Tool for Mapping Out Researchers using Natural Language Processing

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PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing

By Jon Saad-Falcon, Omar Shaikh, and Polo Chau

Overview

PeopleMap is an interactive, web-based tool that uses natural language processing (NLP) techniques to improve the accuracy of the information and characterization of researchers. The tool maps out researchers through graphical representations that make use of a variety of textual characteristics related to each researcher, such as college/school of their professorship, laboratory affiliation, titles and abstracts of their papers found on Google Scholar, and Google Scholar keywords.

By analyzing this information through a variety of natural language processing techniques, such as NMF and TFIDF, we can get a better understanding of the topics and focuses related to the variety of academic researchers. These connections and groups can, in turn, be visualized through a graphical system of nodes and clusters that builds a more intuitive image of the researchers, which helps us understand the vastness of academic diversity better.

PeopleMapPhoto

Working Demo

Click the following link to access a live demo:

https://poloclub.github.io/people-map/

It runs on most web browsers. We suggest you use Google Chrome.

Development

Credit

PeopleMap was created by Jon Saad-Falcon, Omar Shaikh, and Polo Chau. We would also like to thank Austin Wright for assisting us in the development of the project.


Looking for a shareable component template? Go here --> sveltejs/component-template


svelte app

This is a project template for Svelte apps. It lives at https://github.com/sveltejs/template.

To create a new project based on this template using degit:

npx degit sveltejs/template svelte-app
cd svelte-app

Note that you will need to have Node.js installed.

Get started

Install the dependencies...

cd svelte-app
npm install

...then start Rollup:

npm run dev

Navigate to localhost:5000. You should see your app running. Edit a component file in src, save it, and reload the page to see your changes.

By default, the server will only respond to requests from localhost. To allow connections from other computers, edit the sirv commands in package.json to include the option --host 0.0.0.0.

Building and running in production mode

To create an optimised version of the app:

npm run build

You can run the newly built app with npm run start. This uses sirv, which is included in your package.json's dependencies so that the app will work when you deploy to platforms like Heroku.

Single-page app mode

By default, sirv will only respond to requests that match files in public. This is to maximise compatibility with static fileservers, allowing you to deploy your app anywhere.

If you're building a single-page app (SPA) with multiple routes, sirv needs to be able to respond to requests for any path. You can make it so by editing the "start" command in package.json:

"start": "sirv public --single"

Deploying to the web

With now

Install now if you haven't already:

npm install -g now

Then, from within your project folder:

cd public
now deploy --name my-project

As an alternative, use the Now desktop client and simply drag the unzipped project folder to the taskbar icon.

With surge

Install surge if you haven't already:

npm install -g surge

Then, from within your project folder:

npm run build
surge public my-project.surge.sh