In the era of Big Data, we are awash in online textual data, such as Tweets, Google Books, and countless blogs. These sources represent a wealth of data. Sentiment analysis is a technique that automatically assesses the emotional content of text. In partnership with Dr. Saif Mohammad of the National Research Council Canada, I’m exploring developmental trends in emotions from thousands of online poetry submitted by children and adolescents. The goal of this project is to provide insight into how emotions change over developmental time. The Children’s Poems (Hipson & Mohammad, 2019) corpus is freely available on my Github.
WE Hipson (2019). Using sentiment analysis to detect affect in children’s and adolescents’ poetry. In International Journal of Behavioral Development: Methods & Measures Section.