poloclub/people-map

Visualization Tool for Mapping Out Researchers using Natural Language Processing

PeopleMap

A visualization tool that visually “maps out” researchers based on their research interests and publications, based on embeddings generated by natural language processing (NLP) techniques

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 Manually curated university directories easily become out of date and often lack the information necessary to understand a researcher’s interests and past work, making it harder to explore the diversity of research at an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! To generate a PeopleMap, you only need to provide the researchers’ Google Scholar profile URLs.

Live Demos: https://poloclub.github.io/people-map/ideas/ & https://poloclub.github.io/people-map/ml/
Video: https://www.youtube.com/watch?v=kfKOoR4H1PE
Documentation: https://poloclub.gitbook.io/people-map/

Brought to you by Jon Saad-Falcon, Omar Shaikh, Jay Wang, Austin Wright, Sasha Richardson, and Polo Chau.

Mapping Researchers with PeopleMap
Jon Saad-Falcon, Omar Shaikh, Jay Wang, Austin Wright, Sasha Richardson, and Polo Chau
2020 IEEE Visualization (VIS'20)

PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing
Jon Saad-Falcon, Omar Shaikh, Jay Wang, Austin Wright, Sasha Richardson, and Polo Chau
arXiv Preprint

Live Demo

Click the following links to access two live demos:

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

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

We have tested PeopleMap on Google Chrome, Firefox, Safari. It should run on all modern web browsers.

Development

For steps on how to set up and deploy PeopleMap, please see PeopleMap's GitBook documentation at:

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

Credit

PeopleMap was created by Jon Saad-Falcon, Omar Shaikh, Jay Wang, Austin Wright, Sasha Richardson, and Polo Chau from Georgia Tech.

We thank everyone in the Polo Club of Data Science for assisting us in the development of the project.

License

The software is available under the MIT License.

Citations

@misc{saadfalcon2020mapping,
      title={Mapping Researchers with PeopleMap}, 
      author={Jon Saad-Falcon and Omar Shaikh and Zijie J. Wang and Austin P. Wright and Sasha Richardson and Duen Horng Chau},
      year={2020},
      eprint={2009.00091},
      archivePrefix={arXiv},
      primaryClass={cs.DL}
}

@misc{saadfalcon2020peoplemap,
      title={PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing}, 
      author={Jon Saad-Falcon and Omar Shaikh and Zijie J. Wang and Austin P. Wright and Sasha Richardson and Duen Horng Chau},
      year={2020},
      eprint={2006.06105},
      archivePrefix={arXiv},
      primaryClass={cs.DL}
}

Contact

If you have any questions, feel free to open an issue or contact Jon Saad-Falcon.

people-map's Issues

Documents not found

Hi there,
Thank you very much for your fascinating project. It really helps for mapping researchers in our institution.

Maybe my fault, but I encountered these issues are following:

1. I cannot set up the modules following the requirements documents. When I was Installing build dependencies for scipy 1.3.1, it also shows error and not relevant version found.
   Building wheel for scipy (PEP 517) ... error ERROR: Command errored out with exit status 1: command: /Users/jason/opt/anaconda3/bin/python /Users/jason/opt/anaconda3/lib/python3.8/site-packages/pip/_vendor/pep517/_in_process.py build_wheel /var/folders/v7/sl6dw90n1ps92ykcy_4sg3m80000gn/T/tmp3qze_34s

ERROR: Failed building wheel for scipy Failed to build scipy ERROR: Could not build wheels for scipy which use PEP 517 and cannot be installed directly

2. I didn't found there is any documents named dataprocess.sh to begin to process. As in the documents, it requires running the dataprocess.sh.

If anyone could help, I would be grateful.

Many thanks