Cross-cultural language analysis of social media data

Mentor Areas

  • Digital health
  • Computational social science
  • Applied Machine Learning

Description:

The student will work with large scale language datasets from Twitter on identifying cultural differences (and similarities) in how people post and how they relate to individual health behaviors in the US, India, and China

Preferred Qualifications

  • Proficient in coding (Python or R)
  • Basic knowledge of machine learning and natural processing (is a plus)

Project Website

Learn more about the researcher and/or the project here.
Research Website

Details:

Preferred Student Year

Junior, Senior

Academic Term

Fall, Spring

I prefer to have students start during the above term(s).

Volunteer

Yes

Yes indicates that faculty are open to volunteers.

Paid

No

Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.

Work Study

No

Yes indicates that faculty are open to hiring work-study-eligible students.

Researcher