Data Parser

CLIENT Dr. Philippe Giabbanelli, Associate Professor
Computer Science & Software Engineering
VISION To simplify the comprehension and summarization of complex public health information by automating the identification of causal map statements using advanced natural language processing and machine learning techniques.
MISSION Our mission is to provide a time-saving and labor-efficient solution to researchers by automating the identification of causal map statements in their documents.
TEAM Sam Kuhbander
In collaboration with a graduate student and staff member
SITE N/A

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