Using Social Media for Tobacco Regulatory Intelligence
Using NLP techniques to discover 1) new e-cig products online and 2) proposed health claims that users advocate for.
Selected candidate(s) may receive a stipend directly from the faculty advisor. This is not a guarantee of payment, and the total amount is subject to available funding.
Faculty Advisor
- Professor: Adam Poliak
- Department/School: Barnard
- Location: Barnard
- We study the reasoning capabilities and biases in natural language processing models. We also apply natural language processing to other fields to glean insights from large amounts of text.
Project Timeline
- Earliest starting date: 3/1/2021
- End date: 9/1/2021
- Number of hours per week of research expected during Spring 2021: ~10
- Number of hours per week of research expected during Summer 2021: ~30
Candidate requirements
- Skill sets: Python, bash
- Student eligibility:
freshman, sophomore, junior, senior, master’s - International students on F1 or J1 visa: eligible
- Academic Credit Possible: Yes