Text Analysis Software Research Articles

Study on the Overseas Reader Reviews of English Translation of Sanguo Yanyi

<p>Reader evaluation is a key step in measuring the effectiveness of literary translations. A thorough investigation of the reception of Chinese classical novels among overseas readers can help us understand Western readers’ acceptance, value judgments, and preferences regarding these works. This study aims to assess the translation quality and value of the English version of <em>Sanguo Yanyi</em> by Yu Sumei. By collecting reader reviews from platforms such as Amazon and Goodreads, we employ KHCoder text analysis software to generate visualizations that analyze reader feedback. The results indicate that several main factors influence reader evaluations of this translation, including translation quality, English language experience, narrative coherence, and overall reading experience. Therefore, Chinese translators should comprehensively consider the needs and reading habits of overseas readers when translating classical Chinese novels.</p>

Health information-seeking on Reddit, by people who use opioids

Introduction. In the most recent year that data is available, 101,035 people died from drug overdoses in the United States. For people who use drugs, obtaining treatment remains a significant barrier due to issues of fear, stigmatisation, and illegality. Some people turn to the anonymous social media site, Reddit, for obtaining health and harm reduction information. Method. In this study we analysed 2,748 health-related posts on the subreddit r/opiates over a three-month period. Analysis. Using a thematic analysis grounded in social constructivism, we categorised the data to determine the most frequent types of health questions asked by people who use opioids. We then used the text analysis software Linguistic Inquiry and Word Count to determine the emotional content of the posts. Results. Most of the posts were asking about harm reduction strategies and methods to reduce or quit opioid use. Conclusion. The text analysis demonstrated evidence of Foucault’s discourse theory. People who use opioids need more information on harm reduction strategies, and especially safely administering and withdrawing from them.

Do words matter: Investigating the association between linguistic features of accounting examinations and marks

The use of linguistic features in school assessments, as well as the impact of these factors on the outcome of assessments have received limited attention in the literature. With this study I aimed to analyse linguistic features of accounting examinations. A quantitative technique, using tests for correlation, was employed to analyse the Grade 12 National Senior Certificate accounting examinations from 2011 until 2021. Advanced textual analysis software was used to identify connections between specific linguistic features and the marks obtained in these examinations. The findings of this study suggest that increasing the levels of linguistic features associated with analytical thinking, emotional tone and big words, which may be assumed to promote comprehension, may in reality be counterproductive, consequently potentially resulting in poorer marks attained in assessments in the future. The findings of this study are important for the creators of assessment to consider when developing accounting assessment. Given the effect of linguistic features on assessment results as identified in this study, it contributes to the debate on the use of certain linguistic features in assessment.

Stakeholder responses to mandating environmental, social and governance reporting in Hong Kong

We examine stakeholders’ comment letters regarding the Hong Kong Exchange’s (HKEX) 2015 Consultation Paper, which proposed mandating ESG reporting in Hong Kong. We test for significant differences in responses between stakeholder groups and whether the HKEX’s decision was consistent with stakeholders’ preferences in the consultation process. Examining comment letters submitted by six lobbying groups—preparers, investors, the accounting profession, NGOs, other institutions and individuals—we analyze survey responses using textual analysis software and statistical tests. We find that users and the accounting profession participated more than preparers. We also find that preparers and users took different positions on mandating ESG reporting when lobbying the HKEX, whereas preparers and the accounting profession advocated similar positions. Moreover, we find a significant association between stakeholder groups’ preferences and the HKEX’s decision on most proposed changes.

Decarbonization and the obstacles to carbon credit accounting disclosure in financial statement reports: the case of UAE

PurposeThis study investigated the visibility of carbon emissions allowances accounting in the financial reports of 32 clean development mechanism (CDM) projects in the UAE to uncover the obstacles to setting consistent standards for carbon emission accounting. As carbon emissions are monetized as credits, consistent accounting standards can aid decision-makers in the development of carbon emission mitigation strategies.Design/methodology/approachThis study used a grounded theoretical framework for exploring the terms used in the policy documents of international accounting bodies regarding accounting standards and guidelines for carbon emission credits. Raw qualitative data were gathered, and an inductive approach was used by analyzing documents from various sources using the qualitative data text analysis software QDA Miner 6.FindingsThe findings showed that the financial statement reports of the corporations did not include disclosure of the carbon credit account. This omission was due to the lack of global standardization of carbon credit accounts and emission allowance recognition. This may hinder the production of a comprehensive report containing accurate and valuable financial information relevant to all stakeholders.Originality/valueThe study is among the first to use a grounded theoretical framework to investigate whether corporations are applying common standards and guidelines for carbon emissions accounting.

The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19).

The coronavirus disease 2019 (COVID-19) public health emergency has had a huge impact worldwide. We analyzed news headlines and keywords from the initial period of COVID-19, and explored the dissemination timeline of news related to the epidemic, and the impact of Internet-based media on the public using lifecycle theory and agenda-setting theory. We aimed to explore the impact of Baidu news headlines on public attention during the first wave of COVID-19, as well as the management mechanism of regulatory departments for social public opinion. We searched Baidu News using the keywords "Novel Coronavirus" and "COVID-19" from 8 January to 21 February 2020, a total of 45 days, and used Python V3.6 to extract news samples during the first wave of the epidemic. We used text analysis software to structurally process captured news topics and content summaries, applied VOSviewer V6.19 and Ucinet V6.0 to examine key aspects of the data. We analyzed the impact of Baidu News headlines on social opinion during the first wave of COVID-19 in the budding, spread, and outbreak stage of the information lifecycle. From clustering visualization and social network analysis perspectives, we explored the characteristics of Baidu News during the initial stage of the COVID-19. The results indicated that agenda-setting coverage through online media helped to mitigate the negative impact of COVID-19. The findings revealed that news reporting generated a high level of public attention toward a specific emergency event. The public requires accurate and objective information on the progress of COVID-19 through Baidu News headlines to inform their planning for the epidemic. Meanwhile, government can enhance the management mechanism of news dissemination, correct false and inaccurate news, and guide public opinion in a positive direction. In addition, timely official announcements on the progress of the COVID-19 outbreak and responses to matters of public concern can help calm tensions and maintain social stability.

Digital assemblages with AI for creative interpretation of short stories

Abstract I demonstrate an approach fostering inventive interpretation of short stories in Literary Studies and higher education generally. It involves constructing an ‘assemblage’—at its simplest, an evolving network of unusual connections for creative outcome. The assemblage of this article combines freshly located research literature, directly and indirectly related to a story’s themes, and/or the personality type of protagonists. Importantly, this assemblage also utilizes text analysis software revealing the relatively invisible (e.g. (in)frequent words, parts of speech, and topics) and Large Language Model (LLM) Generative AI to enrich the interpretation. The use of all these elements helps productively exceed initial intuitions about the story, facilitating creativity. I model the approach using Edgar Allan Poe’s short story, The Black Cat, whose protagonist is a homicidal psychopath. Specifically, the assemblage here includes relevant software-based research (a corpus analysis of homicidal psychopathic language), non-software-based research (psychoanalytical literary criticism of The Black Cat using the empirically validated concept of transference), text analysis software (WMatrix and Datayze), and the LLM Generative AI, ‘ChatGPT’ (using the freely available LLM GPT-3.5). One use of this approach is as a pedagogy in Literary Studies employing text analysis software (e.g. on a digital stylistics course). Yet given creative adaptability is a key 21st-century skill, with digital literacy—including the use of Generative AI—an important contemporary competence, and with the short story genre universally known, I highlight too the utility of this approach as a university-wide pedagogy for enhancing creative thinking.

Linguistic markers for major depressive disorder: a cross-sectional study using an automated procedure.

The identification of language markers, referring to both form and content, for common mental health disorders such as major depressive disorder (MDD), can facilitate the development of innovative tools for early recognition and prevention. However, studies in this direction are only at the beginning and are difficult to implement due to linguistic variability and the influence of cultural contexts. This study aims to identify language markers specific to MDD through an automated analysis process based on RO-2015 LIWC (Linguistic Inquiry and Word Count). A sample of 62 medicated patients with MDD and a sample of 43 controls were assessed. Each participant provided language samples that described something that was pleasant for them. (1) Screening tests for MDD (MADRS and DASS-21); (2) Ro-LIWC2015 - Linguistic Inquiry and Word Count - a computerized text analysis software, validated for Romanian Language, that analyzes morphology, syntax and semantics of word use. Depressive patients use different approaches in sentence structure, and communicate in short sentences. This requires multiple use of the punctuation mark period, which implicitly requires directive communication, limited in exchange of ideas. Also, participants from the sample with depression mostly use impersonal pronouns, first person pronoun in plural form - not singular, a limited number of prepositions and an increased number of conjunctions, auxiliary verbs, negations, verbs in the past tense, and much less in the present tense, increased use of words expressing negative affects, anxiety, with limited use of words indicating positive affects. The favorite topics of interest of patients with depression are leisure, time and money. Depressive patients use a significantly different language pattern than people without mood or behavioral disorders, both in form and content. These differences are sometimes associated with years of education and sex, and might also be explained by cultural differences.

Management Logistics Maritime: A Literature Review

Using a systematic literature review as the primary research approach, the purpose of this study is to provide an overview of the research trends connected to management of maritime logistics in both Asia and Indonesia. The literature review was carried out with the help of Leximancer, which is a text analytics software, in order to determine the major ideas and recurring topics that were addressed in the research that were chosen. A form of research known as a systematic literature review was utilized for this particular investigation. According to the findings of the comprehensive evaluation of the relevant literature, researchers in Asia and Indonesia follow comparable lines of enquiry in the field of maritime logistics management research. The studies concentrate their attention particularly on topics like the management of supply chains, the optimization of transportation, and the promotion of sustainability in maritime logistics. In spite of the fact that the study tendencies in Asia and Indonesia are quite comparable to one another, certain studies in Indonesia place a distinct emphasis on particular ideas like society, the environment, and marine development. Taking into account its archipelagic character, local rules, and vital position in international trade, these ideas are reflective of the particular challenges and opportunities that Indonesia has when it comes to the management of its maritime logistics. To summarize, Asian research on logistics and maritime management focuses on risks, performance, globalization, environmental sustainability, and green practices. Therefore, Asian trends can be utilized by Indonesian scholars in their studies of maritime logistics management.

Searching students’ reflective writing for linguistic correlates of their tendency to ignore instructors’ feedback

ABSTRACT Students who ignore feedback are poorly positioned to reap its intended benefits. In this study we examined three reflective assignments written by undergraduate Psychology students about their experiences of receiving feedback. We also recorded what proportion of their instructors' feedback each student had accessed during the first two years of their degree, plus their average grades. Using linguistic text analysis software we searched for linguistic features of students’ reflective writing that were statistically associated with their tendency to ignore instructors’ feedback. We found no meaningful associations between feedback-accessing and students’ language use. Exploratory analyses, however, indicated that a greater tendency to ignore feedback was associated with lower grades, and that students with lower grades tended to focus relatively more on the past or present in their reflections than on the future. We discuss the possible merits of using language as an indirect measure in studies of feedback literacy.

POSITIVE EMOTION LANGUAGE PREDICTS IMPROVING DEPRESSION TRAJECTORIES AFTER DEMENTIA CAREGIVING ENDS

Abstract There are striking differences among caregivers of people with dementia (PWDs) in how their health and well-being changes during active caregiving; however, less is known about these differences after caregiving has ended. One important factor influencing caregiver health is the emotional quality of the caregiver-PWD relationship. The present study evaluated caregivers’ emotional connection to the PWD (during caregiving) and associations with caregivers’ depression both concurrently (N = 326 active caregivers) and longitudinally (n = 91 former caregivers). Active caregivers described a recent time they felt connected to the PWD, and their responses were transcribed verbatim. Caregivers’ emotional connection to the PWD was operationalized by summing the number of positive and negative emotion words from the transcripts using text analysis software and dividing each figure by the total number of words in the response. Results indicated that neither positive nor negative emotional language was significantly correlated with caregivers’ concurrent depression. However, two-wave latent change score modeling revealed that caregivers’ greater positive emotional language (adjusting for caregivers’ baseline depression and negative emotional language) predicted steeper declines in depression (i.e., improvements in depression trajectories) after the death of the PWD (ß = -.11, SE(ß) = 0.04, p = .033). Negative emotional language was not significantly associated with changes in caregivers’ depression. This finding highlights positive emotion expressed by caregivers when describing their connection with the PWD as a potential resilience factor and underscores the important role that positive emotional qualities of the caregiving relationship play in improving caregivers’ mental health after caregiving ends.

Types of discourse disseminated by food influencers: Trends on Instagram in France, Germany, Italy, Spain, and the United Kingdom

This research examines the discourse of nutrition influencers on Instagram within five European countries (France, Germany, Italy, Spain, and the United Kingdom) during 2021. The research aims to analyse the visual and textual content disseminated by these influencers and compare the predominant narratives among them. The corpus consists of 98 food influencers, and computer vision networks were employed to analyse visual discourse, linguistic analysis software for text analysis, and quantitative and qualitative methods to analyse hashtags. While promoting global trends (such as vegetable juices or bowls made with natural and unprocessed cereals, nuts, and fruits) to a lesser extent, influencers from the five countries highlight traditional food from their respective cultures in their visual discourse. The predominant discourse in all countries promotes the need for physical change through exercise and nutrition, sometimes fostering a diet culture. Sports and fitness are present in the discourse of influencers from these five countries, predominantly emphasising weight loss, muscle gain, and sports training with specific diets. Sports plays a significant role, with a preponderance of photographs depicting physical transformations and the promotion of food products and sports brands through inspiring images. Spain stands out in this regard as having the most images showing physical changes, especially in women. Although no evidence has been discovered to suggest that the sponsorship of unhealthy foods affects consumers’ preferences for them, the results show the widespread promotion of diet-related goods and foods. Notably, the real food movement was not emphasized in this extensive data analysis.

Development of a Conceptual Framework for Tuberculosis Management and Control; an Evidence Synthesis Using Text Mining Software: A Review.

The use of electronic systems supported by text-mining software applications that support the End TB strategy' needs to be explored. This study aimed to address this knowledge gap, and synthesis of evidence. The PubMed database was searched for structured review articles published in English since 2012 on interventions to control and manage TB. Nine hundred twenty-five articles met the inclusion criteria. The included articles were synthesized using the text and content analysis software Leximancer. The themes were chosen based on the hit words that emerged in the frequency and heat maps. After the themes were chosen, the concept built the themes based on likelihood. The framework resulting in the study focuses on early detection and treatment to minimize the chance of TB transmission in the population, especially for highly susceptable populations. The main area highlighted is the appropriate screening and treatment domains. The framework generated in this study is somewhat in line with the WHO Final TB Strategy. This study highlights the importance of improving TB prevention through a patient-centered approach and protecting susceptible populations. Our findings will be helpful in guiding TB practice, policy development and future research. Future research can elaborate the framework and elicit feedback from TB management stakeholdesr to assess its utility.

Validating computer-generated measures of linguistic style matching and accommodation in patient-clinician communication

ObjectiveTo explore the validity of computer-analyzed linguistic style matching (LSM) in patient-clinician communication. MethodsUsing 330 transcribed HIV patient encounters, we quantified word use with Linguistic Inquiry and Word Count (LIWC), a dictionary-based text analysis software. We measured LSM by calculating the degree to which clinicians matched patients in the use of LIWC “function words” (e.g., articles, pronouns). We tested associations of different LSM metrics with patients’ perceptions that their clinicians spoke similiarly to them. ResultsWe developed 3 measures of LSM: 1) at the whole-visit level; (2) at the turn-by-turn level; and (3) using a “rolling-window” approach, measuring matching between clusters of 8 turns per conversant. None of these measures was associated with patient-rated speech similarity. However, we found that increasing trajectories of LSM, from beginning to end of the visit, were associated with higher patient-rated speech similarity (β 0.35, CI 0.06, 0.64), compared to unchanging trajectories. ConclusionsOur findings point to the potential value of clinicians’ adapting their communication style to match their patients, over the course of the visit. Practice implicationsWith further validation, computer-based linguistic analyses may prove an efficient tool for generating data on communication patterns and providing feedback to clinicians in real time.

Exploring the relationship between social media use and anti-luxury behavior: implications for interactive marketing strategies

PurposeThe study explores different types of anti-luxurians on social media (SM), the characteristics of luxury brands, tendencies to disengage and the opposition to them to propose future directions for luxury marketing in the post-pandemic world.Design/methodology/approachA qualitative approach was employed, wherein 979 posts from SM platforms were analyzed with the text analytics software package KH Coder through word-frequency analysis and an inductive technique.FindingsThe analysis identified the presence of eight types of online anti-luxurians: true luxurians, nature-experienced lovers, life simplifiers, anti-haulers, highly expected consumers, natural environment protectors, antidiscrimination consumers and historic-politic antagonists. Their degree of disengagement and opposition were discussed and graphically mapped.Originality/valueThis is the first study to discover various types of anti-luxurians on SM platforms and graphically map their level of disengagement and opposition toward luxury brands. This study fills an existing critical gap in the luxury marketing literature.

Support for decision-making in checking the level of quality of student research works based on automated text analysis (Asistencia para la toma de decisiones en la evaluación de la calidad de las investigaciones de los estudiantes basada en el análisis automático de textos)

ABSTRACTThe purpose of this study is to increase the efficiency of the analysis process and the objectivity of decision-making on the final assessment, showing the quality of student research works based on the use of an automated text analysis software product. The total number of evaluated research papers was more than 300 (average age of students: 21.6; SD = 34). During the experiment, the effectiveness of the software product Multifunctional Text Analyser (MTA) was tested on the specified sample. The text of the analysed research works can be assessed as qualitative if the complex indicator of the text fragments congruence of the work exceeds 70%. The current article can be used as a methodological and theoretical basis for implementing the principles of academic virtue in institutions of higher education.

The value relevance of digitalization disclosure in integrated reports: A South African perspective

The inevitable disruptions in the Fourth Industrial Revolution necessitates that companies provide investors with digitalization disclosure in integrated reports. This paper investigated whether digitalization disclosure in integrated reports affects the share prices of South African listed companies. The relationship between digitalization disclosure and share prices is examined using the Ohlson (1995) Model through the application of panel data. A new proxy for the “other information” variable in the Ohlson (1995) Model was created for digitalization disclosure by developing a disclosure index to measure the scope of digitalization disclosure in integrated reports. The disclosure index was incorporated into a new text analysis software named the Fourth Industrial Revolution Disclosure Analysis Tool (4IRDAT), which uses algorithms based on natural language processing techniques to facilitate the content analysis of digitalization disclosure in integrated reports. Two scenarios were evaluated: including loss-making companies and excluding loss-making companies. The sample size, including loss-making companies and excluding loss-making companies, was 90 (270 observations) and 72 (216 observations), respectively, for three years from 2018 to 2020. It was established that there was an increase in digitalization disclosure over three years. The results indicated that digitalization disclosure had yet to be incorporated in the share price of South African listed companies for both scenarios. This study is indispensable to regulators, practitioners, standard setters, and academics because it provides empirical evidence on the value relevance of digitalization disclosure in integrated reports. This area has not been interrogated in a South African context.

COGNITIVE DIMENSION OF MODERN ENGLISH RESTAURANT DISCOURSE IN THE INSTAGRAM SOCIAL NETWORK

This article is dedicated to the analysis of English-language restaurant discourse in the social media platform Instagram. The study of restaurant discourse on Instagram is important due to the growing popularity of social media and their impact on consumers. Restaurants use Instagram to promote their brand and interact with consumers, while users use the platform to discover new dining options and familiarize themselves with dishes and restaurant atmospheres. This article examines the cognitive aspect of restaurant discourse, which includes the analysis of language used to create a certain image and impression of the establishment's brand. Restaurant discourse is explored as a specific type of language used in the restaurant industry to interact between the restaurant and its clients, and can be presented in various forms of speech, such as menus, dish descriptions, advertisements, customer reviews, and conversations between staff and clients. Additionally, this study investigates how restaurants use taste perception and visual impressions to attract the attention of their clients. A qualitative and quantitative analysis of texts was conducted using software for text analysis and statistical data. Using the content analysis method, key words and phrases used in photo descriptions were identified, including delicious, mouth-watering, fresh, homemade, local, authentic, seasonal, tasty, vegan, gluten-free, luxurious, exclusive, intimate, romantic, and friendly. This research on restaurant discourse in the social media platform Instagram will help better understand the impact of social media on consumers and the interaction between restaurants and their clients. This article also closely examines the main trends in the use of social media in the restaurant business and their impact on consumers and restaurants. The study of restaurant discourse on Instagram has allowed for obtaining more detailed information about consumers and their preferences, as well as how restaurants can interact with their clients to improve their operations and develop their business.

Health Benefits and Positive Acute Effects of Psilocybin Consumption: A Quantitative Textual Analysis of User Self-Reported Data

ABSTRACT There has been growth in the use of psychedelics by the global population in recent years. In addition to recreational and ritualistic use, recent research into psychedelics has brought advances for treating mental disorders. Understanding the specific circumstances in which psilocybin leads to positive outcomes may have important implications for the future of its clinical use and for harm reduction initiatives. This study aimed to investigate the positive effects from the consumption of psilocybin through public online self-reports. We sought to investigate health benefits promoted by the consumption of the substance, positive acute effects, and contextual details of these experiences. We analyzed 846 reports with the assistance of the IRaMuTeQ textual analysis software, adopting the procedures of Descending Hierarchical Classification, Correspondence Factor Analysis, and Specificities Analysis. The texts were grouped in 5 clusters, describing the content of mental experiences, cognitive processes, somatic experiences, perceptual alterations, and context of administration. The findings of this study reinforce central axes of the psychedelic experience, such as the presence of somatic and visual alterations, connectedness and feeling one with the world and effects of setting, as well as the beneficial character of mystical experiences this substance promotes, and the importance of the ego-dissolution phenomenon.

Emerging Innovation Ecosystem of China Pakistan Economic Corridor under One Belt One Road Initiative; Stakeholders Perspective

The current study analyzed the emerging innovation ecosystem of China Pakistan Economic Corridor (CPEC) under One Belt One Road (OBOR). The purpose of this study was to analyze the inputs, processes, and outcomes of the CPEC innovation ecosystem. The mixed research method was applied to achieve the objective. A literature review of the CPEC and innovation ecosystem was used to build solid grounds. Semi-structured interviews were conducted with 89 stakeholders (business managers, industrialists, academicians, researchers, and government officials) from different areas of Pakistan. Advanced text analytic and content analysis software along with mathematical procedures were further used to extract the anchors (stocks or fixed assets) and processes (changes related to various anchors, or stocks). The innovation ecosystem of CPEC is based on six processes namely Chinese people's involvement, other countries' connectivity, project development, economic activities, trade enhancement, and industrial development. Upon the disruption of any process, this ecosystem would not sustain. The combination of these processes further generates a unique structure to lead CPEC as an innovation ecosystem. Therefore, such type of infrastructure development project is essential for the economic prosperity of this region which makes the CPEC a demand-driven project. So far, it is the first study conducted on CPEC as an innovation ecosystem by exploring the relationship between anchors and processes.