Student Work
CS:MQP:Learning Early Warning Alerts for Food Poisoning Outbreaks from Social Media
PubblicoContenuto scaricabile
open in viewerBy collecting data from social media, news media, and government reports our project aims to develop an analytic big data tool to mitigate food safety risk by leveraging machine learning models to collect relevant data on foodborne illness outbreaks. Our application also serves as a web-based visual analytics tool, allowing users to explore results for early warning and discovery.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Subject
- Publisher
- Identifier
- 54336
- E-project-032522-161614
- Parola chiave
- Advisor
- Year
- 2022
- Sponsor
- UN Sustainable Development Goals
- Date created
- 2022-03-25
- Resource type
- Major
- Rights statement
Relazioni
- In Collection:
Articoli
Elementi
Thumbnail | Titolo | Visibilità | Embargo Release Date | Azioni |
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MQP Final Report_1.pdf | Pubblico | Scaricare | ||
usda-mqp.zip | Pubblico | Scaricare |
Permanent link to this page: https://digital.wpi.edu/show/vh53wz887