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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Language Sample Analysis Framework Utilizing the Natural Language Toolkit and Social Media
verfasst von : Ahmad Abualsamid, Charles E. Hughes
Erschienen in: Advances in Human Factors and Ergonomics in Healthcare
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Abstract
In this paper we present the Analysis of Social Discourse Framework (ASDF), which utilizes the Natural Language Toolkit [1] (NLTK 3.0 documentation. http://www.nltk.org) to analyze language samples from children on the Autism Spectrum. For those whose anxiety prohibits them from providing speech samples in response to guided elicitation we utilize free form social media posts to obtain the language samples. To demonstrate the value of ASDF, we present a formative case study illustrating the collection of samples via social media posts and the resulting analysis. In addition to providing metrics traditionally used in speech sample analysis, ASDF provides new metrics made possible through natural language processing. ASDF is open source so it can be extended by researchers to include additional metrics and additional means of acquiring the data associated with these metrics.