Identification of Linguistic Markers of Insight and Intuition Using Computer‐Assisted Text Analysis

Author(s):  
Eugene Sadler‐Smith ◽  
Vita Akstinaite
Crisis ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Michael J. Egnoto ◽  
Darrin J. Griffin

Abstract. Background: Identifying precursors that will aid in the discovery of individuals who may harm themselves or others has long been a focus of scholarly research. Aim: This work set out to determine if it is possible to use the legacy tokens of active shooters and notes left from individuals who completed suicide to uncover signals that foreshadow their behavior. Method: A total of 25 suicide notes and 21 legacy tokens were compared with a sample of over 20,000 student writings for a preliminary computer-assisted text analysis to determine what differences can be coded with existing computer software to better identify students who may commit self-harm or harm to others. Results: The results support that text analysis techniques with the Linguistic Inquiry and Word Count (LIWC) tool are effective for identifying suicidal or homicidal writings as distinct from each other and from a variety of student writings in an automated fashion. Conclusion: Findings indicate support for automated identification of writings that were associated with harm to self, harm to others, and various other student writing products. This work begins to uncover the viability or larger scale, low cost methods of automatic detection for individuals suffering from harmful ideation.


2013 ◽  
Vol 1 (3) ◽  
pp. 40-43 ◽  
Author(s):  
Joy Reid ◽  
Peggy Lindstrom, ◽  
Maggie McCaffrey ◽  
Doug Larson

2021 ◽  
Vol 8 (3) ◽  
pp. 205316802110328
Author(s):  
Naomi Egel ◽  
R. Lincoln Hines

What are Chinese public attitudes regarding nuclear weapons? Although scholars have studied Chinese elites’ views on nuclear weapons, surprisingly little is known about the views of China’s public. To understand Chinese public views on nuclear weapons, we conduct an online survey ( N = 1066) of Chinese respondents. This is, to our knowledge, the first survey of Chinese public attitudes towards nuclear weapons. We find that although Chinese citizens view the possession of nuclear weapons as important for their country’s security, they strongly oppose the use of nuclear weapons under any circumstances. We also provide respondents an opportunity to describe their views on nuclear weapons in their own words. Using computer-assisted text analysis, we assess patterns in these open-ended responses and compare across age groups. We find that younger respondents emphasize non-material factors such as having a greater voice internationally, whereas older respondents emphasize self-defense. Overall, this analysis sheds light on the public attitudes that may shape China’s evolving approach to nuclear weapons.


2020 ◽  
pp. 0261927X2096564
Author(s):  
Kate G. Blackburn ◽  
Weixi Wang ◽  
Rhea Pedler ◽  
Rachel Thompson ◽  
Diana Gonzales

This study analyzed thousands of women’s online conversations in relation to their miscarriage or abortion experiences, classified as unplanned and planned traumas, respectively. Linguistic Inquiry Word Count text analysis revealed that people experiencing a planned trauma use distancing language patterns in higher frequency and engage in emotion regulation more than those who experienced trauma unexpectedly. On the other hand, planned trauma conversations used more self-focused language and more social-based language. Implications and future directions for trauma research are discussed.


2020 ◽  
pp. 1329878X2094712
Author(s):  
Monika Bednarek ◽  
Georgia Carr

Digital methods are becoming more and more important for text analysis in communications research. However, many computational methods require either relevant technical expertise or multi-disciplinary collaboration, which has impeded their uptake. This article introduces an alternative: computer-assisted linguistic analysis (corpus linguistics), an approach that is increasingly being used outside linguistics and requires less expertise. The article uses a dataset of almost 700 items of health news to demonstrate how such techniques can aid the analysis of (dis)preferred language, sources, stigma and responsibility, framing, and project-specific text analysis. We conclude with an evaluation of the key advantages and limitations of corpus linguistic analysis.


Target ◽  
1992 ◽  
Vol 4 (1) ◽  
pp. 17-31 ◽  
Author(s):  
John Laffling

Abstract This article argues that, unlike conventional bilingual knowledge sources that are underpinned by the principle of filtering out a limited number of representative equivalents, transfer dictionaries that are derived from computer-assisted parallel text analysis can bring both the human and the mechanized translator a stage nearer the elusive ideal of text-insertable translation equivalents.


2021 ◽  
pp. 220-240
Author(s):  
Anna G. Danilova ◽  
Olga V. Mitina

Relevance. In applied psychology, researchers are increasingly faced with the task of analyzing large amounts of text, both verbal and visual. For these purposes, various methods of analysis have been developed and various computer programs have been created. Objective. The possibilities of computerized qualitative text analysis are analyzed. The spectrum of problems solved by various methods of qualitative text analysis is considered. Methods. The theoretical analysis of classical methods of qualitative text analysis is carried out. The specificity of the method of computerized discourse analysis is analyzed. The Internet searched for the most popular programs for qualitative text analysis, considered the main options and requirements for working in the program. Results. Methods of content-, discourse-, intent-analysis, conversion and narrative analysis are briefly characterized. The computerized discourse analysis (CMDA) approach is described. An approach to solving problems of various methods of qualitative analysis of text in computer analysis of qualitative data (Computer Assisted Qualitative Data Analysis; CAQDAS) is presented. The possibilities of some software packages developed within the CAQDAS approach are considered. Conclusions. The advantages of using computerized discourse analysis are shown. The topic of research of methodological problems accompanying the use of CAQDAS is outlined.


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