Abstract
We propose a psychological need detection framework which automatically identifies people needs and measures their satisfaction level. The framework employs three need models, which are developed using psychological, linguistic, and Twitter-specific features. We evaluate the performance of the proposed models on psychological need data sets which are annotated by psychologists. The models obtained encouraging results: 78.71% in recognizing need content, 81.96% in identifying need type, and 93.56% in measuring need satisfaction level. We use the proposed framework to recognize individual needs and measure their satisfaction level in response to the Florida shooting event, which occurred on February 14, 2018, and the related March for Our Lives event which followed on March 24, 2018. Timeline-based visual and textual representations are generated to explain the motivation behind public reaction and behavior.