Text Analysis - Science topic

Call for Chapters: Using AI Tools in Text Analysis, Simplification, Classification, and Synthesis Chapters can include the following topics but are not limited to them: 1-AI in text generating 2- AI in text analysis 3- AI in text summarizing 4- AI in text paraphrasing 5- AI in text classification 6- AI in Creative writing 7- AI in Academic Writin...

The main point of this study is to examine the ideology of conservatism in the selected British novels The Blessing by Nancy Mitford and White Teeth by Zadie Smith through the application of a critical sociolinguistic model. These two novels were chosen for having conservatism as the main theme. In this study, conservatism was analyzed according to...

Syntactic complexity (SC) is an important construct for gauging L2 writing proficiency. Previous studies, including Biber et al. (2016) and Dong et al. (2023), have largely focused on syntactic elaboration and disregarded syntactic diversity. This study investigates how academic writing proficiency is associated with SC, through an evaluation of bo...

The emergence of generative AI in education introduces both opportunities and challenges, especially in student assessment. This paper explores the transformative influence of generative AI on assessment practices, drawing from recent training workshops conducted with educators in the Global South. It examines how AI can enrich traditional assessme...

The story of Adam and Eve serves as a foundational narrative within the Bible, often understood as presenting themes of human imperfection and divine redemption. By combining biblical text analysis, linguistic studies, and The Church of Jesus Christ of Latter-day Saints (LDS) doctrine, this study uncovers nuanced portrayals and pivotal roles of the...

Environmental disclosure is vital for demonstrating a corporate’s environmental initiatives and enabling external stakeholders to access relevant information effectively. However, the lack of a standardized disclosure framework and effective regulations creates an incentive for corporates to exaggerate their environmental disclosures in order to re...

This research aims to conduct a bibliometric analysis and literature review to identify the primary themes and emerging trends in the field of collection-and-delivery points (CDPs) over recent years. We thoroughly examined 36 articles extracted from 408 papers published from 2000 to 2023, resulting from the search on the Web of Science database. Th...

Psychological researchers are increasingly striving to enhance methodological integrity, including in qualitative methods. Although computerized text analysis tools originally emerged as a potential replacement for manual coding approaches, recent studies have underscored the unique yet complementary value of employing several methods. The current...

Despite a growing body of academic literature on religion and migration, there is limited focus on the roles of migrant religious communities and on how religious everyday practices intersect with migration and its implications. This study seeks to address these issues from a post- and decolonial perspective, through the analysis of the activities...

ESG has gradually become a key indicator to measure the corporate sustainable development performance in various countries. More and more business managements are integrating sustainable development goals into corporate strategies. The board of directors is the strategy and decision maker of the enterprise and has the primary responsibility for ESG...

Este artigo analisa a SAF (sociedade anônima de futebol) como forma de organização dos clubes de futebol brasileiros. A SAF foi criada pela lei nº 14.193/2021, que alterou a lei PELÉ e criou um novo marco legal para o futebol profissional. O objetivo do estudo é entender as características, benefícios e desafios da SAF e seu potencial impacto na ge...

Critical discourse analysis (ACD) is a qualitative approach to text analysis that stresses the dynamic interaction between the text and its context. The current study tries to investigate the three levels of interaction between Imam Ali (PBUH) and Kharijites—description, interpretation, and explanation adapting a descriptive-analytical method of Fa...

span lang="EN-US">The technique of automatically recognizing and transforming text that is present in pictures or scenes into machine-readable text is known as scene text recognition. It facilitates applications like content extraction, translation, and text analysis in real-world visual data by enabling computers to comprehend and extract textual...

The hadith of the Prophet is the second source of Islam after the Quran. For non-Arabs to understand this source at the initial stage, it needs to be translated. One of them is into the Malay language which is spoken by almost 300 million people in the Southeast Asian region. However, there are concerns about the validity of the translation. This i...

Der Beitrag dokumentiert die wiederholte Thematisierung des ›Bösen‹ als Motiv, Eigenschaft und/oder Identität von TäterInnen durch forensische ExpertInnen. Kritische Textanalyse identifiziert diese Erzählstruktur als fetischistische Verleugnung und problematisiert einesteils deren vorwissenschaftlichen Moraldiskurs, anderenteils die implizit-expliz...

This article introduces a new metric for evaluating digital innovation in enterprise transformation using textual analysis of annual reports from U.S.-listed companies. Through network analysis and topic modeling, we identified 12 topics categorized into three main areas: digital technology innovation, customer-oriented digital strategy, and digita...

The paper describes the origins and structure of artificial poetry, i.e. poetry created by programs (nowadays mainly bots based on artificial neural networks). It points out the difficulties involved in detecting human authorship of poems and the development of detection strategies in new research on artificial poetry. Author claims that traditiona...

In the era of Big Data and Data Science, Text analysis within, Natural Language Processing (NLP), suffers from the curse of high dimensionality. The use of NLP in applications such as speech processing, semantic webs, and word processing has become a main element in today’s Artificial Intelligence and Big Data Applications. A natural language parsi...

Environment is one of the concerning issues not only for human being but for each organism that is being discussed today on global level. The climate change policy is issued and discussed worldwide due to the threats related to the global warming. Pakistan has also been releasing climate change policies especially about air and its contamination on...

Large language models (LLMs) have demonstrated remarkable capabilities in text analysis tasks, yet their evaluation on complex, real-world applications remains challenging. We define a set of tasks, Multi-Insight Multi-Document Extraction (MIMDE) tasks, which involves extracting an optimal set of insights from a document corpus and mapping these in...

This study focuses on the influence of online texts on Hainan’s sports tourism experience behavior, aiming to explore the specific impact of online texts on Hainan’s sports tourism experience behavior and provide a reference for promoting the development of Hainan’s sports tourism. The study used methods such as text analysis to collect and analyze...

Quantitative text analysis (BERTopic) on textual responses to an open-ended survey question about climate change in French, German, English, and Norwegian.

Η ζωή και η καλλιτεχνική διαδρομή της Μαρίας Κάλλας (2.12.1923-16.9.1977) υποδεικνύουν τη σημασία της χειραφέτησης της γυναίκας μουσικού στο πλαίσιο ποικίλων κοινωνικών διεργασιών κατά τον 20ό αιώνα (δικαίωμα ψήφου γυναικών, ισότητα φύλων), θέματα τα οποία μελετά η «Νέα Μουσικολογία» και ειδικότερα οι σπουδές φύλου (έπειτα από το 1990). Αντίστοιχη...

Smart manufacturing is the core technology of the new industrial revolution and plays a crucial role in promoting high-quality development of enterprises. By using the panel dataset from 2015 to 2022 in China and applying text analysis methods to measure the level of smart manufacturing, we examine the impact of smart manufacturing on enterprises’...

This study aimed to monitoring & literature review that have dealt with marketing using AI techniques. It also included several other elements, such as addressing IMC methods that have been covered in research & studies, future research approaches, & theoretical frameworks that can be used at the academic studies, in addition to employing research...

We present a novel method for approximating potential psychological effects of video games on players utilizing computational text analysis and artificial intelligence. Focusing specifically on growth mindset-a psychological construct associated with learning and resilience-we analyze player-generated reviews on the Steam gaming platform. In partic...

Emotions are a central concept in previous entrepreneurship research, but this is mainly related to entrepreneurs and their entrepreneurial journey. However, venture capitalists (VCs) and business angels (BAs), two critical investors in the entrepreneurial finance literature, are essential actors in the entrepreneurial process. Still, little is kno...

As the “pioneers” and “guides” of artificial intelligence technology, leading companies play a crucial role in overcoming technical bottlenecks and driving high-quality industrial development. This paper, based on the distinction between leading and follower companies, constructs AI indicators through text analysis and machine learning methods to e...

Formålet med artikkelen er å identifisere hvordan styrer oppfatter sin rolle for å møte bærekrafts-forventninger. Vi gjennomførte digitale tekstanalyser av ESG-rapporteringen til alle selskap ved Oslo børs som ble ESG-rangert av Refinitiv i perioden 2012–2022. Analysen gir en kvantitativ oversikt over hvordan selskapene har respondert på bærekrafts...

Advanced models can now interpret and understand photos, videos, and text. Conventional AI models focused on image classification, text analysis, and video processing. Multimodal foundation models combine data analysis in one framework to meet the requirement for more integrated AI systems. The models may learn joint representations from several mo...

How do emerging powers secure international leadership posts? How do these international civil service positions contribute to an emerging power’s influence in multilateral institutions? Focusing on China as an emerging power in the UN system, we find that China forms coalitions with other weaker states to control leadership personnel appointments....

This study discusses the ethics of debate in the perspective of hadith by examining the thoughts of Abu Laith al-Samarqandiy in the book Bustān al-ʿĀrifīn. The background of this study focuses on the phenomenon of debate that often leads to hostility and division in society, especially when the debate aims to humiliate, dominate, or seek recognitio...

The reliability of innovative textual information is important for investors to evaluate a firm’s innovation status. TONE positivity of such information can reflect a firm’s innovation capabilities; however, its authenticity may be compromised in the context of equity pledging. Therefore, this study addresses a critical gap by examining the relatio...

The article presents the textual potential of games and distinguishes between the types of texts in text-heavy video games. Text types are categorized according to the diegetic/non-diegetic situation vis-à-vis the game world and primary text function. It is assumed that role-playing games (RPGs) such as Divinity: Original Sin 2 (Larian Studios, 201...

Artificial intelligence (AI) is transforming the translation profession, introducing powerful tools that enhance both efficiency and quality. This talk provides an insider's guide to the essential AI-driven applications shaping the future of professional translation. From cutting-edge computer-aided translation (CAT) tools and machine translation s...

This paper provides a novel approach using state-of-the-art generative Artificial Intelligence (AI) models to enhance the accuracy of machine learning methods in detecting AI-generated texts; the underlying generative capabilities are used along with ensemble-based learning methods for the exact characterization of created text attributes. Four bas...

Research This study aims to analyze cohesion and coherence in the news of Wonosobo Zone online newspaper. Wonosobo Zone online newspaper from September to November 2024. Cohesion refers to cohesion between linguistic elements in the text, while coherence refers to the logical integration of meaning between ideas. to the logical integration of meani...

Background Over 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 commer...

Designing intelligent systems to classify text in the medical domain is a challenging task. There is a shortage of openly available medical datasets (due to HIPPA-related strict regulations on protected health information for patients). In this paper, we explore the application of Open Source Medical LLMs (such as Meditron LLM), generic Large Langu...

1 Abstract Large language models and generative artificial intelligence (GAI) have recently demonstrated significant promise for revolutionizing a range of industries, including healthcare. The paper investigates how these cutting-edge AI developments are transforming healthcare applications. We focus on how big language models, like GPT-3 (generat...

Generative large language models (LLMs), which create text without direct correspondence to truth value, are widely understood to resemble the uses of language described in Frankfurt's popular monograph On Bullshit. In this paper, we offer a rigorous investigation of this topic, identifying how the phenomenon has arisen, and how it might be analyse...

Recent climate events, such as extreme weather patterns and natural disasters, have led to significant financial losses and market volatility. This study was conducted to address the practical need for understanding how these climate shocks impact the Chinese stock market, particularly in terms of risk management and investment strategies. Three cl...

This Element is an interdisciplinary analysis of the language evidence produced before, during and following a lone-actor terrorism attack in Halle, Germany, on October 9, 2019, resulting in two casualties. During his final preparations, the perpetrator, twenty-seven-year-old Stephan Balliet, announced his attack online and disseminated a targeted...

We study the Latent Dirichlet Allocation model, a popular Bayesian algorithm for text analysis. We show that the model's parameters are not identified, which suggests that the choice of prior matters. We characterize the range of values that the posterior mean of a given functional of the model's parameters can attain in response to a change in the...

Objective: The objective of this study is to investigate the concept of justice in Roman rhetoric, with the aim of expressing its fundamental characters. Theoretical framework: This topic presents the main concepts and theories that support research. Particularly the analysis of the rhetorical texts of Cicero, and the conception of justice in the d...

Currently, the economy of China is demonstrating positive momentum. However, it also faces pressures stemming from structural adjustments and changes in the external environment. Ensuring sustainable development at the corporate level is crucial for maintaining overall economic stability and sustained growth within the nation. This paper utilizes A...

Populist radical right (PRR) parties' attacks against prevailing historical interpretations have received much public attention because they question the foundations of countries' political orders. Yet, how prominent are such attacks and what characterizes their sentiment and content? This article proposes an integrated mixed-methods approach to in...

O conteúdo de oxirredução envolve reações biológicas e com metais, fundamentais para a sociedade contemporânea. Devido a isso, os documentos curriculares brasileiros têm definido competências e habilidades associadas ao conteúdo a serem desenvolvidas na educação básica. Além disso, a literatura sobre o ensino da oxirredução explica que existem quat...

Introduction and Objectives: Contemporary social sciences is incapable of catching and explaining complex and ever-changing collective relationships constantly if they don’t invest enough in generating new and innovative conceptual and methodological manners. Featuring the emergence of new trends, and phenomena, and the increasing complexity, relat...

Metrics, rankings, and other various forms of evaluation are everywhere. Academia, in its infinite colors, is no exception. Everything we do as scholars is quantified for a variety of reasons. H-index, journal impact factors, research evaluations, teaching evaluations, and questions like "How much grant money did you bring this year?" are just a fe...

This article presents a comprehensive analysis of the methodological advancements in Digital Legal History (DLH), focusing on pivotal processes such as digitisation, datafication, and the evolution of ontologies. It demonstrates how digitising legal sources preserves extensive archives while datafication transforms them into structured, machine-rea...

Since the 21st century, the electric vehicle (EV) industry has become a key driver of global transformation, with increasing emphasis on the study and evaluation of industrial policies across nations. However, traditional frameworks struggle to capture the dynamic interactions between policies at different government levels or effectively analyze l...

Focusing on the global garment supply chain, this article explores a third effect, apart from the country-of-origin and the host-country effects, that impact the employment relations of overseas Chinese companies. This paper is based on field research and interviews of 42 stakeholders in the Cambodia and Burmese garment industries, and employs them...

This comprehensive article explores the cutting-edge techniques and challenges associated with on-device inference of Large Language Models (LLMs), a transformative approach that brings advanced AI capabilities directly to mobile and edge devices. The article delves into the intricate balance between the computational demands of LLMs and the resour...

The aim of the study is to reveal how certain stylistic devices are used to describe the heroes’ images and the surroundings in a fairy tale by the British writer S. Haddow. The article conducts stylistic analysis aimed at exploring the text of the fairy tale as a combination of all linguistic elements. Text analysis helps to extract the maximum of...

Introduction. This paper examines the methodology of text analysis using phono-semantic assessment based on the “VAAL-mini” program. The study includes an analysis of the original text and its translation to identify the author's tonality and its [non]preservation in the translation. The relevance of the chosen topic is determined by the applicatio...

O presente artigo resulta de trabalho em andamento no Mestrado Profissional em Ensino de História da Universidade Federal de Sergipe (UFS). Visa apresentar uma proposta de sequência didática para professores(as) de História do 9.º Ano do Ensino Fundamental trabalharem uma abordagem relacional entre a história das mulheres e o movimento sufragista b...

The spread of new media technologies in China has facilitated knowledge dissemination and public opinion exchange, but the COVID-19 pandemic has compounded the complexity and challenges of this process. During the pandemic, experts made frequent statements through new media, making it difficult to distinguish the truth from the truth, resulting in...

This study explores the paradigm of Islamic economics and Islamic banking in Indonesia through the perspective of the philosophy of religion using a bibliometric approach. A qualitative method is employed to provide an in-depth understanding of the core concepts in Islamic economics and Islamic banking, as well as the relationship between the two....

This study uses data from listed companies in China from 2008 to 2021, constructs a comprehensive evaluation of corporate environmental performance from the perspective of internal efficiency and externalities based on the text analysis method, and analyzes the impact and mechanism of environmental performance on profitability. In addition, we find...

Based on city-level data from 287 Chinese prefecture-level administrative units spanning 2011 to 2021, this study employs text analysis to quantify FinTech development and applies a double machine learning model to empirically assess the impact of FinTech on Inclusive Green Growth, along with its underlying mechanisms. The key findings are as follo...

Content analysis is one of the most frequently applied methods for the research of various forms of discourse, including political discourse. As a research technique, it was developed in studies on communication and is now frequently used in linguistics, for example, in text analysis, systematic studies of written text or transcribed speech, as wel...

In recent years, as China's economy has gradually shifted to high-quality development, climate policies and sustainable finance have received widespread attention. In the current era of promoting the "dual-carbon" strategy, green finance plays an indispensable role in helping corporates achieve green transformation. However, it has been found that...

What explains the politicization of EU trade agreement negotiations? Resonance with the contestation of others! In this thesis, I present a generic theory of politicization developed in relation to trade policy, but which is broadly applicable across policy fields. I argue that politicization is caused by actors who are not affected by policy decis...

Natural Language Processing (NLP) is increasingly essential in financial analysis as vast amounts of unstructured data-such as news articles, regulatory filings, social media, and earnings reports-shape investment decisions and risk management strategies. Financial text analysis with NLP techniques enables the extraction of valuable insights from t...

The issue of overtourism have been discussed for decades. Addressing the problems caused by excessive tourist numbers in confined areas is vital, especially in cities like Kyoto, known for its cultural and religious attractions. This study delves into the experiences of visitors at Kyoto's religious sites, with a particular focus on overtourism and...

Traditional research on Blackness in education often renders Black people nonhuman (Wynter, 1994). In this article, we formulate Black ancestral text analysis, a qualitative research method in which Black thinkers excavate the ancestral knowledges offered in intellectual texts. Our method rejects the white gaze of counting and condemning Black peop...

The integration of Artificial Intelligence (AI) with Islamic studies represents a transformative advancement in religious scholarship and education. This research examines the implementation of AI applications in Islamic studies while addressing the inherent challenges and ethical considerations this integration presents. Through a systematic liter...

Labour and Agitation Discourse: Media text Analysis of Industrial Crisis in Public Universities in Nigeria

Introduction In recent years, an increasing body of research has illustrated a strong correlation between gut microbiota and depression. However, there has yet to be a comprehensive discussion or summary of the latest advancements and trends in this field. Methods We retrieved research articles focused on gut microbiota and depression through the...

Background: Reports on cyber dating violence in adolescent populations vary significantly depending on whether the focus is on directly aggressive behaviours or behaviours designed to control one’s partner. In contrast to direct aggression, which is often clearly identified by adolescents, there is a greater degree of ignorance, and even a certain...

The advent of artificial intelligence (AI) has prompted the introduction of novel digital technologies, including mobile learning and metaverse learning, into nursing students’ learning environments. This study used text network and topic modeling analyses to identify the research trends in generative AI in nursing education for students and patien...

MOS research on films has tended to focus on individual cases or series. In this article, we are proposing an approach that mobilizes background analysis, computational text analysis, and hermeneutics in order to provide a systematic, critically inclined analysis of a large corpus. We illustrate this approach by exploring the political and symbolic...

Background About 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. Objective...

In order to explore the application potential of artificial intelligence (AI) and text mining technology in educational policy analysis and evaluate their impact on the psychological perception of policy audiences, this study firstly introduces the application of AI and text mining technology in education. Secondly, it explores the application of p...

National parks serve as critical practical sites for advancing the concept of “harmonious coexistence between humans and nature” and hold a strategic role in establishing global ecological security barriers. Scholars and decision-makers have expressed significant interest in rigorous assessments of the recreational resource value in national parks....

Word embeddings represent a transformative technology for analyzing text data in social work research, offering sophisticated tools for understanding case notes, policy documents, research literature, and other text-based materials. This methodological paper introduces word embeddings to social work researchers, explaining how these mathematical re...

In this work we analyze comments on three subreddits related to AI-generated art to understand how people perceive the ability of AI to create art and the topics and moods of discussions in the context of widespread usage of pre-trained models. We used computational text analysis techniques such as LDA topic modeling and sentiment analysis with sen...

Subsequent analyses of participatory budgeting in Poland emphasise the popularity of environmental issues such as greenery, air quality, and sustainable transport, which should also support objectives in urban climate change adaptation (UCCA). An increasing number of adaptation projects within local standards or ‘green’ civic budgets are often list...

This study utilized web crawling and text analysis to collect weekly data from July 2018 to March 2022. Using the spiral of silence theoretical framework, it explores the relationship between consumer online attention during sudden animal epidemics and pork price volatility. The research found that consumer online attention, influenced by animal di...

Background and Aims: China's General Administration of Quality Supervision, Inspection, and Quarantine (AQSIQ) Wen (No. 39 of 2014) states that Qingyang Sachets is a long-established embroidery treasure. It is handmade with fresh and elegant spices and colorful silk threads, possessing a unique mood. With rich shapes and exquisite designs, Qingyang...

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 valu...

This research focuses on President Joko Widodo's use of the word "KAGET" in political discourse during the period 2014 to 2024. The use of this word often appears in response to various unexpected events and has become an important part of building Jokowi's leadership image. The purpose of this study is to analyze how the word "KAGET" is used as a...

The portrayal of public figures, especially female athletes, has undergone quite a bit of transformation due to social media and internet news platforms growing rapidly over the past years. This paper mainly analyzes the Weibo image construction of female Chinese athletes from the two perspectives: self-shaping and other-shaping. Three famous athle...

The article explores the factors influencing youth involvement in deviant behavior, taking into account the socio-economic development of various regions. The tendency towards deviant behaviors remains significant for societal development, causing harm to quality of life and well-being, while suppressing social and economic opportunities. Understan...