Language Sample Analysis Framework Utilizing The Natural Language Toolkit And Social Media
Keywords
Autism spectrum disorders; Fragile X syndrome; Human factors; Language sample analysis; Natural language processing
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.
Publication Date
1-1-2017
Publication Title
Advances in Intelligent Systems and Computing
Volume
482
Number of Pages
445-456
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-319-41652-6_41
Copyright Status
Unknown
Socpus ID
84986305820 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84986305820
STARS Citation
Abualsamid, Ahmad and Hughes, Charles E., "Language Sample Analysis Framework Utilizing The Natural Language Toolkit And Social Media" (2017). Scopus Export 2015-2019. 7393.
https://stars.library.ucf.edu/scopus2015/7393