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Natural Language Processing in Mental Health Research and Practice

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Mental Health Informatics

Part of the book series: Health Informatics ((HI))

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Abstract

Information relevant to mental health is commonly recorded as unstructured narrative text. This text may be part of a clinical record, a social media post, a diary, or a transcribed conversation between two or more people. Although the quantity and richness of this unstructured narrative text is vast, it is inaccessible to traditional computer systems which rely on structured data. Natural language processing (NLP) is a technology that solves the problem of making this information accessible to computer systems. NLP is a technology for converting unstructured narrative texts into a format that is more easily accessible to computerized systems. NLP is also a scientific field—the field concerned with develo** and applying methods for making unstructured narrative texts computable. NLP is a field in computer science that combines artificial intelligence, statistics, and linguistics to process unstructured text and make it more easily accessible by computerized systems. In this chapter, we provide an overview of NLP within the mental health domain. We discuss different data sources, including electronic health records and social media text, and describe how to collect, process, and analyze these texts for mental health research and practice. Finally, we provide an overview of applications, challenges, limitations, and ethical considerations.

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Notes

  1. 1.

    https://developer.twitter.com

  2. 2.

    http://www.reddit.com/dev/api

  3. 3.

    https://www.tumblr.com › docs › api

  4. 4.

    https://github.com/

  5. 5.

    https://code.google.com/archive/p/word2vec/

  6. 6.

    http://bio.nlplab.org/

  7. 7.

    https://www.ncbi.nlm.nih.gov/pubmed/

  8. 8.

    http://liwc.wpengine.com/

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Authors and Affiliations

  1. Christopher Newport University, Newport News, VA, USA

    Sam Henry

  2. University of Washington, Seattle, WA, USA

    Meliha Yetisgen

  3. George Mason University, Fairfax, VA, USA

    Ozlem Uzuner

  4. Harvard Medical School, Boston, MA, USA

    Ozlem Uzuner

  5. Massachusetts Institute of Technology, Cambridge, MA, USA

    Ozlem Uzuner

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  1. Sam Henry
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Correspondence to Sam Henry .

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  1. Duke University, Durham, NC, USA

    Jessica D. Tenenbaum

  2. Six Aims for Behavioral Health, Minneapolis, MN, USA

    Piper A. Ranallo

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Henry, S., Yetisgen, M., Uzuner, O. (2021). Natural Language Processing in Mental Health Research and Practice. In: Tenenbaum, J.D., Ranallo, P.A. (eds) Mental Health Informatics. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-70558-9_13

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