UROP Project

Explainable AI and Text Analytics

In our modern, digitized world, masses of unstructured data are now produced on an unprecedented scale - be it posts on social media, user comments on public websites, or economic and business reports. These data contain information about peoples’ attitudes toward brands and labels, their emotions and sentiments related to specific products and services, to general public attitudes and opinions. They even incorporate statistical cues that make it possible to gain more insights into peoples’ personality or their mental health. We, at ClaritySciTech, develop NLP software solutions to derive actionable insights from unstructured data to support and improve human-decision making. Our software solutions have a diverse range of real-world applications, from healthcare informatics to e-commerce to social data analytics for business intelligence and human resource management.

Task

As part of your UROP International program, you will apply natural language processing and text mining methods to conduct a research project in one of the following areas: Application of NLP techniques to computational social science problems Application of NLP techniques to computational cognitive modeling and computational psychology Predictive modeling of ideology and public sentiments Classifying health-related messages in social media Automatic detection and extraction of health-related concepts in social media Text Style Transfer, Text Readability and Simplification Behavioral datasets or resources and computational modeling

Requirements

Interest in natural language processing, solid programming skills ideally in Python or C++