Research And References

Overview

Want to learn more about how natural language processing works, or why feedback is important, or just how we figured out that we can get all this information from a couple hundred words of feedback? Well, we used a bunch of studies and research in charting the ideas and technology behind this platform, so now you can nerd out with us.

Feedback For Good
How Feedback Helps Everyone


Why We Don’t Come: Patient Perceptions on No-Shows
Lacy, N.L., et al
A qualitative study of clinic patients who missed an appointment yields transferrable, linguistic-based information about the impact of emotion and perception of respect on the client’s willingness to follow through with a planned activity, or if they will return to the facility again should the need arise. While not a nonprofit, this helps demonstrate the effect of emotion and experience on if they will return for continued services. Feedback (and psychometric analysis) gives this information to providers so they can plan better and create environments that encourage the person to follow through or return.

Read the Study

Local Consumer Review Survey 2020
BrightLocal
An analysis of how a potential participant or consumer will lean towards businesses which have at least one relatable review online, as well as what they hope for if there is to be continued engagement (even if the review was less than positive). People act the same way when seeking referrals for services, preferring organizations which have a review about what they might expect from someone with whom they feel they can relate.

Read the Analysis

Voice of the Customer 2021
MacDonald, S.
A corporate understanding of how proper, comprehensive collection and analysis of user feedback can significantly multiply returns. Returns might be repeat visitors, referrals, funding, and other KPIs. This blog post contains additional source information and studies as reference.

Read the Blog

Military and Veterans in the Workplace
(Feedback for Corporate Employee Support)


Workplace Perceptions of Veterans and Nonveterans in the Workplace
Teclaw et al;
A research study in 2016 with milvets employed with the Department of Veterans Affairs found that Military and Veterans in the workplace are often less satisfied with their civilian employment when it came to most areas of interpersonal engagement. Programming for socializing, support, and community-building may have a significant impact on retention. This community prefers to communicate with and trust within its population group, indicating programs that provide more opportunities for this type of interaction at work would help increase employee satisfaction.

Read the Research

Workplace Social Support in Job Satisfaction Among Veterans ,/br> Harris et al;
A 2017 scientific study discovered Veterans who lack resources which meet their social, mental health, and general wellness needs are more likely to miss work and have deteriorating work functionality. The introduction of specific programs and the inclusion of anonymous, external resources and services for the targeted community may assist in increased productivity and overall quality of employees.

Read the Study

Rand: More Research on Veteran Employment
Batka and Curry Hall
A 2016 Rand Corporation study examined how Military members and Veterans hired as employees offer substantial benefits to companies, but are not often assessed as a group. Better understanding of how they adjust and contribute - through targeted surveys and analysis - could likely lead to better recruitment and hiring decisions.

Read the Article

Technology Validation
NLP as a Reliable Tool


Personality in 100,000 Words: A large-scale analysis of personality and word use among bloggers
Yarkoni, T.
A quantitative analysis of how written language in opinion and other unedited content correlates to results using word count and syntax processors, and how this process can reasonably be used to measure personality attributes.

Read the Analysis

Ethical considerations of the GermEval20 Task 1. IQ assessment with natural language processing: Forbidden research or gain of knowledge?
Johannssen, D., et al
This paper examines inherent bias in IQ and other traditional tests such as self-reported personality scoring, regardless of validation. It notes that AI and NLP can assist in minimizing or eliminating such bias to measure traits, but results should be used ethically.

Read the Comparison

What do we know when we LIWC a person? Text analysis as an assessment tool for traits, personal concerns and life stories.
Pennebaker, J. et al
This meta-analysis compares several methods of text analysis for verification, validation, and system. It also examines syntax and connecting words, and how they are linked to understanding emotion and personality.

Read the Meta-Analysis

Psychological Aspects of Natural Language Use: Our Words, Our Selves
Chung, C.K., and Pennebaker, J.
This document - part of a larger handbook on personality and metrics - defines LIWC and defines its use in several aspects of personality assessments, including identifying areas for future study.

Read the Chapter

The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods
Tausczyk, Y., and Pennebaker, J.
This paper details the validation of the Linguistic Inquiry and Word Count (LIWC) system upon which much of the Pathfinder Labs analysis is based.

Read the Validation

Natural Language Analysis and the Psychology of Verbal Behavior: The Past, Present, and Future States of the Field
Boyd, R., and Schwartz, A.
A general definition paper on the history and future of natural language processing techniques to understand and define personality traits, including cautions and pitfalls.

Learn More About NLP