Appendix A. DICTION Text Analysis Software Explained

2021 ◽  
pp. 179-180
Keyword(s):  
Text Analysis ◽  
Analysis Software

scholarly journals Scuba Diving Experience and Sustainability: An Assessment of Online Travel Reviews

2018 ◽  
Vol 9 ◽  
pp. 43-52 ◽  
Author(s):  
Peunjodi Naidoo ◽  
Prabha Ramseook-Munhurrun ◽  
Jing Li
Keyword(s):  
Text Analysis ◽  
Physical Environment ◽  
Scuba Diving ◽  
Tourism Industry ◽  
Small Island ◽  
Analysis Software ◽  
Unsupervised Analysis ◽  
Online Travel Reviews ◽  
Tourism And Hospitality ◽  
Online Travel

Scuba diving is a popular activity in small island destinations which is on the rise. However, it is particularly important to preserve the physical environment for small island developing states due to their unique biodiversity and fragile ecosystems. Scuba diving tourism in island destinations is provided mainly by dive operators who are responsible to deliver the scuba diving experience to tourists. However, despite the importance of sustainability for the tourism industry, it is unclear to which extent the marine environment or green issues are important for consumers. Studies are increasingly suggesting that sustainability is an important feature considered by consumers. However, information is sparse regarding the extent to which sustainability is a key component for customers when evaluating the scuba diving experience. In this study, 3109 text reviews from the Trip Advisor website across all 57 listed diving operators in Mauritius were selected for data analysis. Th e present study uses Leximancer, a text analysis software that conducts unsupervised analysis of natural language texts provided in an electronic format.The Gaze: Journal of Tourism and Hospitality Vol.9 2018 p.43-52

scholarly journals A posthumanist pedagogy using digital text analysis to enhance critical thinking in higher education

2019 ◽  
Vol 35 (4) ◽  
pp. 845-880
Author(s):  
Kieran O'Halloran
Keyword(s):  
Higher Education ◽  
Critical Thinking ◽  
Text Analysis ◽  
Status Quo ◽  
Analysis Software ◽  
Education Students ◽  
Digital Text ◽  
The Status ◽  
Project Assignment ◽  
Independent Thinking

Abstract I model a critical posthumanist pedagogy that uses text analysis software and is aimed at higher education students. A key purpose of the pedagogy is to help students enhance empathetic, critical and independent thinking. For their project assignment, the student chooses an unfamiliar campaign seeking to eliminate suffering and extend rights. They gather all texts from the campaign website into a corpus, which thus represents the campaign writ large. Then they use appropriate software to ascertain, efficiently and rigorously, common campaign concerns across this corpus. This puts students in a position to discern any significant concerns in the campaign corpus that are not addressed in text(s) supporting the status quo which the campaign opposes. Should significant omissions be found, students critically evaluate the status quo text(s) from the campaign’s perspective. Since this perspective derives from the student identifying (at least temporarily) with software generated data, it is a posthuman subjectivity. Engaging digitally and empathetically with a campaign’s data at scale for creation of a posthuman subjectivity can broaden awareness of disadvantage, discrimination, and suffering as well as expand horizons. Moreover, at the end of the assignment, the student is expected to formulate their own position vis-à-vis the previously unfamiliar campaign. Conditions have been created then for the student to enhance independent thinking too.

scholarly journals Development of the text analysis software agent (chat bot) for the library based on the question and answer system TWIN

2019 ◽  
Vol 30 ◽  
pp. 04006
Author(s):  
Anastasia Ivanovskaya ◽  
Konstantin Aksyonov ◽  
Igor Kalinin ◽  
Yuriy Chiryshev ◽  
Olga Aksyonova
Keyword(s):  
Text Analysis ◽  
Software Agent ◽  
Analysis Software ◽  
Response System ◽  
System A ◽  
Correct Information ◽  
Question And Answer ◽  
Chat Bot

The development of a text analysis software agent is presented for a library based on the TWIN question-response system. A review of modern platforms for creating chat bots. The results of experiments with a trained text analysis software agent are described. The trained agent fully provided correct information during the experiments.

scholarly journals Representação social da aposentadoria para professores universitários

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Luana De Barros Campos Amaral ◽  
Tatiana Lucena Torres
Keyword(s):  
Social Security ◽  
Text Analysis ◽  
Social Representations ◽  
Social Representation ◽  
Northeastern Brazil ◽  
Analysis Software ◽  
University Professors ◽  
The Social ◽  
Life Itself ◽  
New Phase

RESUMO: O objetivo do presente estudo foi analisar as representações sociais da aposentadoria para professores que trabalham em duas universidades federais do nordeste brasileiro. Foram realizadas vinte entrevistas narrativas, pareadas por sexo e instituição, com professores universitários que possuíam 50 anos ou mais de idade. As entrevistas transcritas foram analisadas com auxílio de software de análise textual, do tipo lexicográfica. Os resultados indicaram a composição de seis classes textuais e as representações sociais mais fortes se referiam à aposentadoria como nova etapa de vida, retorno à família, envelhecimento, viagens e lazer. Para os entrevistados, as representações sociais da aposentadoria foram positivas, no entanto, a perspectiva de um trabalho satisfatório, somado ao medo em relação às mudanças previdenciárias e a própria vida, reforçam a intenção de adiar a aposentadoria. Não houve diferenças significativas entre instituições, o que demonstra certa homogeneidade das representações para esse grupo profissional.Palavras-chaves: aposentadoria; professores; representação social; universidade federal.ABSTRACT: This study aimed to analyze social representations of retirement among professors that work at two federal universities in northeastern Brazil. Twenty narrative interviews were carried out, paired by gender and institution, with university professors aged 50 and above. The transcribed interviews were analyzed with the aid of lexicographical text analysis software. The results indicated six text categories and the strongest social representations referred to retirement as a new phase in life, a return to family, aging, travel and leisure. For the interviewees, the social representations of retirement were positive, however, the prospect of a satisfactory job, added to the fear in relation to social security changes and life itself, reinforce the intention to postpone retirement. There were no significant differences between institutions, which demonstrates a certain homogeneity in representations among this professional group.Keywords: retirement; professors; social representation; federal university.

Oral financial reporting: A rhetorical analysis of earnings calls

2013 ◽  
pp. 15-34
Author(s):  
Belinda Crawford Camiciottoli
Keyword(s):  
Financial Reporting ◽  
Text Analysis ◽  
State Of The Art ◽  
Rhetorical Analysis ◽  
Small Sample ◽  
Classical Rhetoric ◽  
Analysis Software ◽  
Financial Communication ◽  
Rhetorical Dimension

Earnings calls are a key form of voluntary financial reporting through which companies seek to proactively engage investors. Although now quite routine, little is known about their rhetorical dimension. Inspired by Aristotlean classical rhetoric, this paper offers an exploratory analysis of the language of a small sample of earnings calls to identify expressions of logos (reason), ethos (credibility) and pathos (emotion). Text analysis software was used to generate descriptive data for follow-up qualitative analysis to interpret strategic usage. Results indicate a strong presence of persuasive language that is skillfully juxtaposed by company executives with financial information to emphasize success and instill confidence. The findings can be applied towards developing state-of-the-art courses for students of financial communication and towards enhancing the effectiveness of financial reporting.

Clinical and Sociocultural Factors Associated With Failure to Escalate Care of Deteriorating Patients

2017 ◽  
Vol 33 (4) ◽  
pp. 391-396
Author(s):  
Firas S. Elmufdi ◽  
Susan L. Burton ◽  
Nishant Sahni ◽  
Craig R. Weinert
Keyword(s):  
Text Analysis ◽  
Moral Distress ◽  
Teaching Hospitals ◽  
Sociocultural Factors ◽  
Analysis Software ◽  
Factors Associated ◽  
Daily Care ◽  
Code Blue ◽  
Medical Emergencies ◽  
Patients With Poor Prognosis

In-hospital medical emergencies occur frequently. Understanding how clinicians respond to deteriorating patients outside the intensive care unit (ICU) could improve “rescue” interventions and rapid response programs. This was a qualitative study with interviews with 40 clinicians caring for patients who had a “Code Blue” activation or an unplanned ICU admission at teaching hospitals over 7 months. Four study physicians independently analyzed interview transcripts; refined themes were linked to the transcript using text analysis software. Nine themes were found to be associated with clinicians’ management of deteriorating patients. Multiple human biases influence daily care for deteriorating hospitalized patients. A novel finding is that “moral distress” affects escalation behavior for patients with poor prognosis. Most themes indicate that ward culture influences clinicians to wait until the last minute to escalate care despite being worried about the patients’ condition.

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