The Keyword Explorer Suite: A Toolkit for Understanding Online Populations
| dc.contributor.author | Feldman, Philip | |
| dc.contributor.author | Pan, Shimei | |
| dc.contributor.author | Foulds, James | |
| dc.date.accessioned | 2024-02-27T17:45:10Z | |
| dc.date.available | 2024-02-27T17:45:10Z | |
| dc.date.issued | 2023-03-27 | |
| dc.description | IUI '23 Companion: Companion Proceedings of the 28th International Conference on Intelligent User Interfaces (March 2023) | |
| dc.description.abstract | We have developed a set of Python applications that use large language models to identify and analyze data from social media platforms relevant to a population of interest. Our pipeline begins with using OpenAI’s GPT-3 to generate potential keywords for identifying relevant text content from the target population. The keywords are then validated, and the content downloaded and analyzed using GPT-3 embedding and manifold reduction. Corpora are then created to fine-tune GPT-2 models to explore latent information via prompt-based queries. These tools allow researchers and practitioners to gain valuable insights into population subgroups online. | |
| dc.description.uri | https://dl.acm.org/doi/abs/10.1145/3581754.3584122 | |
| dc.format.extent | 6 pages | |
| dc.genre | conference papers and proceedings | |
| dc.genre | preprints | |
| dc.identifier | doi:10.13016/m2qeaf-dhst | |
| dc.identifier.citation | Philip G Feldman, Shimei Pan, and James Foulds. 2023. The Keyword Explorer Suite: A Toolkit for Understanding Online Populations. In Companion Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI '23 Companion). Association for Computing Machinery, New York, NY, USA, 21–24. https://doi.org/10.1145/3581754.3584122 | |
| dc.identifier.uri | https://doi.org/10.1145/3581754.3584122 | |
| dc.identifier.uri | http://hdl.handle.net/11603/31711 | |
| dc.publisher | ACM | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Information Systems Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.title | The Keyword Explorer Suite: A Toolkit for Understanding Online Populations | |
| dc.type | Text | |
| dcterms.creator | https://orcid.org/0000-0001-6164-6620 | |
| dcterms.creator | https://orcid.org/0000-0002-5989-8543 | |
| dcterms.creator | https://orcid.org/0000-0003-0935-4182 |