Web: http://arxiv.org/abs/2209.10477

Sept. 22, 2022, 1:13 a.m. | Yan Liu, Maria Laricheva, Chiyu Zhang, Patrick Boutet, Guanyu Chen, Terence Tracey, Giuseppe Carenini, Richard Young

stat.ML updates on arXiv.org arxiv.org

Transition to Adulthood is an essential life stage for many families. The
prior research has shown that young people with intellectual or development
disabil-ities (IDD) have more challenges than their peers. This study is to
explore how to use natural language processing (NLP) methods, especially
unsupervised machine learning, to assist psychologists to analyze emotions and
sentiments and to use topic modeling to identify common issues and challenges
that young people with IDD and their families have. Additionally, the results
were …

arxiv detection disabilities emotion emotion detection modeling people topic modeling transition

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