Text Analyses Research Articles

Enhancing advanced vocabulary in EFL writing: an AI-assisted intervention for English studies students in Poland

Abstract Effective use of advanced vocabulary is crucial for higher-level English language learners, particularly as they progress towards C1 proficiency according to the Common European Framework of Reference for Languages (CEFR). However, incorporating sufficiently sophisticated vocabulary in writing remains challenging for many learners. This quasi-experimental study investigated the effectiveness of an AI-assisted intervention designed to enhance awareness and use of advanced vocabulary among B2 level first-year English Studies students in Poland (n = 71). The intervention, integrated into regular coursework over five sessions, included exposure to advanced vocabulary through reading, explicit instruction on word proficiency levels, and opportunities for vocabulary use in writing. Data were collected through summary writing and word recognition tasks. The CEFR checker, an AI-based text analyser, was employed to identify C1+ and B2 level vocabulary in students’ writing. Results revealed modest but noticeable improvements in both the use and recognition of C1+ and B2 level vocabulary over time. The study also found changing correlations between vocabulary use and recognition across sessions, particularly for C1+ words. These findings highlight the potential of AI-assisted instruction in enhancing advanced vocabulary among higher proficiency EFL learners. The study contributes to the growing body of CALL literature on AI-assisted L2 instruction and opens avenues for further research on new pedagogical approaches to facilitate advanced vocabulary development in EFL writing.

The Propensity and Significance of the Sermon Messages of the Planted Self-aided Churches - Results and Significances of In-depth Analyses of the Second Year Sermon Texts of 7 Planted Self-aided Churches in the Korea Central Region -

The Propensity and Significance of the Sermon Messages of the Planted Self-aided Churches - Results and Significances of In-depth Analyses of the Second Year Sermon Texts of 7 Planted Self-aided Churches in the Korea Central Region -

The study of policy coordination: an approach to integrate expert assessment with automated content analysis

Abstract Public policy scholars have long agreed that the coordination of policies involving different authorities and policy frameworks is challenging. This paper responds to recent calls to explore new empirical methods for studying policy coordination by integrating automated text analysis into the workflow of human experts. A key contribution of our approach is a quantitative indicator of the semantic alignment between different policy objectives. We critically review the performance of the indicator in terms of its ability to assess both horizontal and vertical policy coordination by analysing the Recovery and Resilience Plan (2021–26) and the national and regional Smart Specialization Strategies (2021–27) in Portugal. Based on this exercise, we reflect on the necessary conditions for the successful implementation of automated text analysis of policy documents as well as its potential in other empirical settings.

Sportschau-like , raststättenlike , Claudialike . Like -Adjektive als neues Wortbildungsmuster im Deutschen

Abstract Adjectives with the borrowed head constituent like are a previously undescribed phenomenon in German. This corpus-based study shows that they occur frequently in certain text sources and analyses them as a productive word-formation pattern. The article describes the morphological, syntactic, graphemic, semantic, and pragmatic properties of these adjectives. While their structural formation is subject to only few constraints, their use is much more restricted. This is shown, among other things, by the frequent use of quotation marks which indicates that writers are aware of the novelty or expressiveness of the formations. Finally, the emergence of the pattern in German is discussed in terms of foreign word-formation vs. grammatical borrowing.

A Bibliometric Review of Natural Language Processing Applications in Psychology from 1991 to 2023

Natural language processing (NLP) has emerged as a promising approach in psychological research. However, prior reviews often focused on specific subject areas and reported varying findings regarding the use of NLP methods. To address this gap in the literature, we conducted a comprehensive review of NLP applications in psychological research. Our study includes (1) a large-scale bibliometric review of 4,909 papers (1991–2023) and (2) a focused methodological review of the 100 most-cited articles. Results revealed exponential growth in NLP applications since 2012, with Health, Education, and Marketing as dominant topics. Sentiment analysis was the most common technique, deep learning—particularly pre-trained models—gained popularity, and automated text analysis tools were widely used due to their ease of implementation.

Deposit pickers in the Nordic: The role of deposit-refund systems for waste pickers in Stockholm.

This article examines a specific subtype of informal waste picking: deposit picking. Despite its global prevalence, waste picking has neither been extensively studied in the Nordic countries nor in the context of a deposit-refund system. Through interviews and text analyses of waste pickers in Stockholm, Sweden, similarities and differences between deposit picking and traditional waste picking are uncovered. For example, unlike other waste materials, the income from deposits is stable. The focus on beverage containers and the ability of reverse vending machines to sort the containers, lowers the knowledge threshold to begin the activity. The lightweight nature of beverage containers makes collection mobile, and deposit pickers often carry only a bag. The deposit pickers are mainly older, poor and male. Similar to traditional waste pickers, deposit pickers are central to the formal waste system, but their work is invisible, and foreign deposit pickers, in particular, are stigmatized. The dual invisibility of their labour and contributions, coupled with their independence from formal social systems, highlights the need for internal organization and representation within the formal systems.

Smartphone pregnancy apps: systematic analysis of features, scientific guidance, commercialization, and user perception

BackgroundOver 50% of pregnant women use pregnancy applications (apps). Some app s lack credibility, information accuracy, and evidence-based clinical advice, containing potentially harmful functionality. Previous studies have only conducted a limited analysis of pregnancy app functionalities, expert involvement/evidence-based content, used commercialization techniques, and user perception.MethodsWe used the keyword “pregnancy” to scrape (automatically extract) apps and app information from Apple App Store and Google Play. Unique functionalities were derived from app descriptions and user reviews. App descriptions were screened for evidence-based content and expert involvement, and apps were subsequently analyzed in detail. Apps were opened and searched for used commercialization techniques, such as advertisements or affiliate marketing. Automated text analysis (natural language processing) was used on app reviews to assess users’ perception of evidence-based content/expert involvement and commercialization techniques.ResultsIn total, 495 apps were scraped. 226 remained after applying exclusion criteria. Out of these, 36 represented 97%/88% of the total market share (Apple App Store/Google Play), and were thus considered for review. Overall, 49 distinct functionalities were identified, out of which 6 were previously unreported. Functionalities for fetal kick movement counting were found. All apps are commercial. Only 15 apps mention the involvement of medical experts. 10.3% of two-stars user reviews include commercial topics, and 0.6% of one-/two-/three-/five stars user reviews include references to scientific content accuracy.ConclusionProblematic features and inadequate advice continue to be present in pregnancy apps. App developers should adopt an evidence-based development approach and avoid implementing as many features as possible, potentially at the expense of their quality or over-complication (“feature creep”). Financial incentives, such as grant programs, could support adequate content quality. Caregivers play a key role in pregnant individuals’ decision-making, should be aware of potential dangers, and could guide them to trustworthy apps.

Human Rights and Transhumanism: From Natural Rights to Trans-Natural Rights

This text explores the evolution of human rights throughout the 20th century. The text analyses the transition from traditional conceptions of human dignity rooted in human nature to emerging notions influenced by transhumanist ideologies. The analysis delves into contrasting perspectives on human dignity, comparing the Aristotelian-Christian tradition, which values the unity of body and soul, with materialist philosophies that prioritize intellect over physicality. The document outlines how these philosophical shifts have led to the emergence of “disembodied dignity” and the promotion of “anti-natural” and eventually “trans-natural” rights, which prioritize individual will over inherent human nature. Through historical analysis and philosophical inquiry, this text examines how these evolving ideologies have influenced legal interpretations, societal values, and the trajectory of human rights discourse.

Between Sartre and Ratzinger, or the Legacy of the “No Man’s” Revolution

This text analyses the relevance of the 1968 revolution in the context of the crisis of values in Western Europe and the response of Pope Benedict XVI to these challenges. The author shows that this revolution, inspired by Sartre’s existentialism and Marxism, had a profound impact on contemporary culture, challenging the traditional Christian understanding of man, God, and freedom. In response, Benedict XVI stressed the importance of a personal relationship with Jesus Christ as the foundation of an authentic faith, the only real alternative to the ideology of absolute freedom, and proposed Christianity as the path to true freedom, underpinned by the love of God.

Acupuncture for patients with Alzheimer's disease: An evidence map of randomized controlled trials, systematic reviews, and meta-analysis.

Background: Acupuncture is an effective complementary treatment for Alzheimer's disease (AD). This review aims to summarize the available evidence provided by randomized controlled trials (RCTs) and systematic reviews (SRs) or meta-analyses (MAs) on the effect of acupuncture on AD. Objective: To systematically summarize and combine clinical research evidence on AD distribution. Methods: We conducted a comprehensive search of various databases, including PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wan Fang Data, Chinese BioMedical Literature Database (CBM) and Chonqing VIP (CQVIP), from their inception to September 2023. Relevant literature about acupuncture for AD was included, and the characteristics of the evidence map were presented through charts and textual analyses. Results: In total, 117 RCTs and 17 SRs or MAs were included. The results were divided into three categories: basic characteristics of the included literature, clinical characteristics and quality assessment of the included RCTs, and clinical characteristics and quality assessment of the included SRs and MAs. Conclusions: Acupuncture as a therapeutic measure for AD has some advantages in improving cognition and quality of life; thus, it is imperative to conduct multi-center, large-scale RCTs to enhance the evidence supporting the use of acupuncture in AD. This is the first evidence map exploring acupuncture treatment for AD, providing insights into the current clinical research landscape on acupuncture treatment for AD. Furthermore, the findings of this study highlight research gaps in this field and serve as a valuable reference for guiding the planning and selection of topics for future research.

Topic modeling and content analysis of people’s anxiety-related concerns raised on a computer-mediated health platform

BackgroundAbout one in four Chinese people might suffer or have already suffered from anxiety conditions, with a lifetime prevalence rate of 4.8%. However, many of those who could have benefited from psychological or pharmacological treatments fail to be recognized or treated due to the lack of timely recognition and accurate diagnosis.ObjectiveThis study used a topic modeling approach to explore people’s anxiety-related concerns raised on a computer-mediated Chinese health platform, YOU WEN BI DA (questioning and answering), to provide implications for accurate diagnosis, targeted education, tailored intervention, and informed policy-making in the course of addressing this condition of public concern.MethodsFirst, we extracted data from YOU WEN BI DA between May 2022 and February 2023. After cleaning the extracted data both using the Python text processing tool spaCy and manually, we ascertained the optimal number of topics by drawing on the coherence scores and used latent Dirichlet allocation (LDA) topic modeling to generate the most salient topics and related terms. We then categorized the topics ascertained into different classes of themes by plotting them onto a 2D plane via multidimensional scaling using the pyLDAvis visualization tool. Finally, we analyzed these topics and themes qualitatively to better understand people’s anxiety-related concerns.Results5 topics with different overall prevalence were ascertained through data analysis. Topic 2 (tinnitus phobia-incurred concerns, n = 639) is the most popular dominant topic, occurring in 25.1% of the 2545 collected concerns, closely followed by Topics 1 (neurosis-incurred concerns, n = 512;) and 3 (sleep, dyskinesia, bipolar, cognitive, and somatic disorders-incurred concerns, n = 619), which appeared in 20.1% and 24.3% of the 2545 concerns respectively. Topic 5 (social phobia-incurred concerns, n = 428) ranks as the fourth most popular dominant topic, showing up in 16.8% of the 2545 concerns. Topic 4 (autonomic nerve dysfunction-incurred concerns, n = 347) accounts for 13.6% of the 2545 concerns. The t-distributed Stochastic Neighbor Embedding analysis reveals partial similarities between Topics 2 and 5 as well as between Topics 4 and 5 because many concerns involved in Topics 2 and 5 pertain to people’s psychological status of fear and anxiety and the relief and dispelling of such symptoms through medication, and many concerns involved in Topics 4 and 5 relate to people’s worries about the negative impact on their nerves and the adjustment and conditioning of such effects through medication.ConclusionThis was the first study that investigated Chinese people’s anxiety-related concerns raised on YOU WEN BI DA using the topic modeling technique. The automatic text analysis and complementary manual interpretation of the collected data allowed for the discovery of the dominant topics hidden in the data and the categorization of these topics into different themes to reveal the overall status of people’s anxiety-related concerns. The research findings can provide some practice implications for health and medical educators, practitioners, and policy-makers to make joint efforts to address this common public concern effectively and efficiently.

Methods Used in Co-Creation Within the Health CASCADE Co-Creation Database and Gray Literature: Systematic Methods Overview.

Co-creation is increasingly recognized for its potential to generate innovative solutions, particularly in addressing complex and wicked problems in public health. Despite this growing recognition, there are no standards or recommendations for method use in co-creation, leading to confusion and inconsistency. While some studies have examined specific methods, a comprehensive overview is lacking, limiting the collective understanding and ability to make informed decisions about the most appropriate methods for different contexts and research objectives. This study aimed to systematically compile and analyze methods used in co-creation to enhance transparency and deepen understanding of how co-creation is practiced. To enhance transparency and deepen understanding of how co-creation is practiced, this study systematically inventoried and analyzed methods used in co-creation. We conducted a systematic methods overview, applying 2 parallel processes: one within the peer-reviewed Health CASCADE Co-Creation Database and another within gray literature. An artificial intelligence-assisted recursive search strategy, coupled with a 2-step screening process, ensured that we captured relevant methods. We then extracted method names and conducted textual, comparative, and bibliometric analyses to assess the content, relationship between methods, fields of research, and the methodological underpinnings of the included sources. We examined a total of 2627 academic papers and gray literature sources, with the literature primarily drawn from health sciences, medical research, and health services research. The dominant methodologies identified were co-creation, co-design, coproduction, participatory research methodologies, and public and patient involvement. From these sources, we extracted and analyzed 956 co-creation methods, noting that only 10% (n=97) of the methods overlap between academic and gray literature. Notably, 91.3% (230/252) of the methods in academic literature co-occurred, often involving combinations of multiple qualitative methods. The most frequently used methods in academic literature included surveys, focus groups, photo voice, and group discussion, whereas gray literature highlighted methods such as world café, focus groups, role-playing, and persona. This study presents the first systematic overview of co-creation methods, providing a clear understanding of the diverse methods currently in use. Our findings reveal a significant methodological gap between researchers and practitioners, offering insights into the relative prevalence and combinations of methods. By shedding light on these methods, this study helps bridge the gap and supports researchers in making informed decisions about which methods to apply in their work. Additionally, it offers a foundation for further investigation into method use in co-creation. This systematic investigation is a valuable resource for anyone engaging in co-creation or similar participatory methodologies, helping to navigate the diverse landscape of methods.

The impact of IT change on corporate environmental violations: Toward information asymmetry and stakeholder theory

As an essential market player, corporations play a crucial role in achieving green and sustainable economic development, while information technology is vital in influencing corporate environmental decision-making. Therefore, using a sample of A-share listed companies in China from 2009 to 2021, we developed a measurement for IT change through computer-aided text analysis to investigate the impacts of IT change on corporate environmental violations. The key findings are as follows: (1) a 1% increase in external or internal IT change can reduce corporate environmental violations by approximately 0.139 and 0.204. (2) IT change influences corporate environmental violations through monitoring and knowledge acquisition mechanisms. (3) IT change significantly affects environmental violations in firms that are large in size, lack government supervision, and adopt cost leadership strategies. (4) IT change complements green credit policies and positively affects firms in non-green credit-restricted industries. To sum up, this paper contributes to understanding the factors that influence corporate environmental decisions and offers insights into promoting the construction of IT change.

Automated Assessment of Leadership Style and Professional Values of a Top-Manager and its Compliance with SDGS

Objective: the main objective was to use automated text analysis and assess the leadership styles and professional values of top managers, as well as to study how these parameters can influence the achievement of the SDG "Decent work and Economic growth". Theoretical Framework: The work is based on the idea that the leadership style and intelligence of a top manager determine the trajectory of a company’s development, the psychological working climate, the attitude towards employees, and the decision-making mechanism within and outside the team. Method: The authors used automated psychological text analysis using AI-based chatbots (ChatGPT, Gemini, Gigachat) and a specialized psychological text analysis program (LIWC). These methods were compared with psychological content analysis performed by a person. Results and Discussion: The obtained results showed that automated text analysis can be effectively used to understand the personality of the manager and the features of decision-making on his part in relation to employees and the organization. Research Implications: the approach proposed by the authors will allow for the development of measures to increase labor productivity and create decent jobs, taking into account the personality and values of the top manager, and will serve as a basis for the development of creativity and innovation in the company, thereby contributing to the achievement of the SDGs of “Decent Work and Economic Growth”. Originality/Value: the conducted research confirmed our hypothesis that text analysis allows us to understand important personality traits from the standpoint of intelligence, logic, thinking and speech, using artificial intelligence tools.

E-learning adoption: a comparative analysis of public sentiments during COVID-19

ABSTRACT The COVID-19 pandemic accelerated e-learning adoption, presenting both opportunities and challenges for educational development, particularly in the context of Information Technology for Development (ITD). This study profiles public sentiments on e-learning to identify key factors influencing IT-enabled education. A text analysis of Tweets from the United States and India posted from March 2020 to January 2022 was conducted using a computer-aided text analysis and natural language processing alongside a content analysis using a machine learning technique. Findings show positive sentiments towards e-learning from both countries, with trust, anticipation, and joy as predominant emotion categories. Themes of strongest importance are students, schools, and education as central to e-learning discussions. The study also uncovers challenges such as the need for internet infrastructure and teacher training in digital pedagogy. These findings contribute to the broader understanding of how information technologies can address educational challenges and promote development in diverse global contexts.

Redefining copreneurs: a four decadal review adopting computer aided text analysis

Redefining copreneurs: a four decadal review adopting computer aided text analysis

Electoral Incentives and Negotiated Settlements: Legislative Deliberation on the Mindanao Conflict in the Philippines

Some conflict‐experiencing countries undergo both violent and electoral competitions. In other words, electoral competition evolves while nonstate actors struggle to realize their political and cultural demands by arms. Although increasing attention has been paid to the interplay between domestic political dynamics and violent conflict, we still know little about how the electoral calculations of legislators shape their response to negotiated settlement, possibly influencing conflict processes. By examining the congressional records of the House of Representatives in the Philippines, this study conducts quantitative text analyses to assess the impacts of electoral incentives—shaped by executive popularity, district ethnic composition, and the occurrence of conflict‐related violence—on legislators' response to negotiated settlement. The results demonstrate that legislators are sensitive to constituents' views on conflict settlement by showing support or opposition to negotiated settlement, anticipating their electoral fortunes in the next election.

Syncopating the Ground Rhythm: W. E. B. Du Bois and Black Geographic Futurity on New Orleans’s North Claiborne Avenue

This research reads New Orleans’s North Claiborne’s 22-block landscape through a Du Boisian cartographic analytic that traces the ground rhythms of white supremacy and the syncopating daily life of Blacks residents’ resistance to racial oppression. Drawing on Du Bois’s The Philadelphia Negro as well as his work of speculative fiction, The Princess Steel, and cartographic experiments for the 1900 Paris World Exposition, and through textual and visual analyses of this critical Black geography, I argue that Du Boisian spatial analytics continue to be critical to how Black futures and freedom might be imagined. This Du Boisian analytic tends to archival and canonical absences; insists on the temporal, relational, and geographical dimensions of white supremacy; challenges the flattening of racial classificatory systems and cartographic logics; and represents heterogeneity as a rich and complex genealogical intermix of resistance across time and space. By reading North Claiborne for its geographical and temporal synergies, I draw on Du Bois to empirically grapple with and represent a capacious Black geographical imaginary and grounded praxis that blurs geographical and temporal delineations, contrasts white supremacy with freedom as a geographical praxis, and transposes abstract cartographies with Black life and placemaking.

„Комедията без смях“ на Пиер Корней и нейната роля за развитието на класицистичната комедия във Франция

The emerging neoclassical dramaturgy in France (1720s and 1730s) explicitly sought its aesthetic foundations in ancient poetics and practices. Inspired by a rather radical interpretative development of these by Heinsius, the French playwright Pierre Corneille pursued the ambitious goal of creating an entirely new classical comedy that would not need any laughter. This article contextualizes and analyses his conception, elucidates its aesthetic underpinnings, and traces its practical realizations in order to situate this seemingly quirky aesthetic experiment in the development of comedy through the century and beyond and to affirm its value to that development. It concludes by outlining the aesthetic and dramaturgical stakes of the concept of “comedy without laughter”, designed primarily to differentiate the emerging neoclassical comedy from any old comic theatrical forms, but also to seek out and experiment with new and diverse techniques for creating comedy and generating laughter within it. The hybrid methodology of the work combines global analyses of dramatic and theoretical texts by Pierre Corneille and Heinsius, respectively, with some general statements and analytical reflections and conclusions on the establishment of the neoclassical aesthetics of comedy and the assertion and development of laughter strategies in it. The conclusion establishes the “comedy without laughter” as a non-negligible stage in the development of comedy and comic laughter in the century, which has culminated later in the works of Molière. Recognizing, understanding, and enlightening its role is important and necessary for a deeper understanding of the aesthetics of modern comedy, which have been developed since the seventeenth century and underlie contemporary comic theatrical forms as well.

The Prospect of Artificial Intelligence-Supported Ethics Review.

The burden of research ethics review falls not just on researchers, but also on those who serve on research ethics committees (RECs). With the advent of automated text analysis and generative artificial intelligence (AI), it has recently become possible to teach AI models to support human judgment, for example, by highlighting relevant parts of a text and suggesting actionable precedents and explanations. It is time to consider how such tools might be used to support ethics review and oversight. This essay argues that with a suitable strategy of engagement, AI can be used in a variety of ways that genuinely support RECs to manage their workload and improve the quality of review. It would be wiser to take an active role in the development of AI tools for ethics review, rather than to adopt ad hoc tools after the fact.