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Language Sample Analysis Framework Utilizing the Natural Language Toolkit and Social Media

  • Ahmad AbualsamidEmail author
  • Charles E. Hughes
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 482)

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.

Keywords

Fragile X syndrome Human factors Language sample analysis Autism spectrum disorders Natural language processing 

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.Modeling and SimulationUniversity of Central FloridaOrlandoUSA
  2. 2.Department of Computer ScienceUniversity of Central FloridaOrlandoUSA

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