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A Data-Driven Application for Matching Student Traits with Learning Opportunities using Artificial Intelligence

Authors

Chongda You1, Andrew Park2, 1USA, 2California State Polytechnic University, USA

Abstract

It is often limited to students the opportunities they can get to apply their knowledge and learn new things, as different opportunities have vastly different ways of advertising. Just like the students, many organizations are looking for passionate students to apply their knowledge and energy to benefit society [2]. To solve this problem and ease the difficulties in finding the right opportunities, Maclever aims to be a place where all organizations can post their opportunities for students, and students can use the artificial intelligence-based feature in this application to find opportunities that best fit their skills. Maclever aims to be a simple and effective connection between organizations and students [3]. Leveraging tools such as sentiment analysis and utilizing models based on user behaviors and preferences to better match valuable connections allows us to create a system that gives us a much stronger ability to address the goals Maclevers sets out to solve.

Keywords

Data-Driven, Sentiment Analysis and Models, User Interaction, Sentiment Analysis Model