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NLP text modeling experience

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We are looking for a graduate student with experience in social network analysis and natural text processing. We need help with NLP text modeling, in particular Sentiment Analysis, LWIC dictionary implementation, and regular expressions modeling, to construct features that are correlated with misinformation. The deliverable will be a computer code that could identify the features in a database of tweets with credible and non-credible health information. A student will be compensated $1200 for 35 hours of work in the Fall Semester 2022. Please contact Ilona Fridman:

Faculty Advisor
Jennifer Elston Lafata
Research Supervisor
Ilona Fridman
Faculty Email:
Type of Position
Application Deadline