Search results for "Data Science"

Quantification and classification in education: What is at stake?

2021

Histories of statistics and quantification have demonstrated that systems of statistical knowledge participate in the construction of the objects that are measured. However, the pace, purpose, and scope of quantification in state bureaucracy have expanded greatly over the past decades, fuelled by (neoliberal) societal trends that have given the social phenomenon of quantification a central place in political discussions and in the public sphere. This is particularly the case in the field of education. In this article, we ask what is at stake in state bureaucracy, professional practice, and individual pupils as quantification increasingly permeates the education field. We call for a theoret…

Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports

2018

Due to their disclosure required by law, business management reports have become publicly available for a large number of companies, and these reports offer the opportunity to assess the financial health or distress of a company, both quantitatively from the balance sheets and qualitatively from the text. In this paper, we analyze the potential of deep sentiment mining from the textual parts of business management reports and aim to detect signals for financial distress. We (1) created the largest corpus of business reports analyzed qualitatively to date, (2) defined a non-trivial target variable based on the so-called Altman Z-score, (3) developed a filtering of sentences based on class-co…

How Do Filtering Choices Impact the Structures of Audience Networks? A Simulation Study Using Data from 26 Countries

2020

Although communication scholars have increasingly studied audience fragmentation by analyzing audience networks, recent cross-national research has spurred a methodological debate about how to cons...

An overview of research within the Genre and Multimodality framework

2017

This review article provides an overview of the research conducted within the Genre and Multimodality framework, which has been used to describe the multimodality of page-based documents and other multimodal artefacts over the past 15 years. The article explicates the motivation and inspiration for developing the framework, introduces its central theoretical concepts and presents its applications across a number of case studies. Finally, the article discusses the criticism directed towards the model and identifies avenues of future development. peerReviewed

The Development of the TPR-DB as Grounded Theory Method

2018

Abstract Initial versions of the translation process research database (TPR-DB), were released around 2011 in an attempt to integrate translation process data from several until then individually collected and scattered translation research projects. While the earlier individual studies had a clear focus on quantitative assessment of well-defined research questions on cognitive processes in human translation production, the integration of the data into the TPR-DB allowed for broader qualitative and exploratory research which has led to new codes, categories and research themes. In a constant effort to develop and refine the emerging concepts and categories and to validate the developing the…

Introduction to Analyzing Digital Discourse: New Insights and Future Directions

2018

In the introduction, we have embedded our overview of the contributions to this volume within a narrative that reviews past and extant research on language and digital communication. We have taken special care to highlight the ways in which each chapter advances the field. In order to do so, we have carefully identified new methodological and empirical insights put forth by the different authors. Specifically, we have highlighted the steps contributors to this volume have taken to help establish the so-called third wave of research, and these steps point to future directions in which to expand the field of language and digital communication.

Towards a Data Warehouse Architecture for Managing Big Data Evolution

2018

Towards events ontology based on data sensors network for viticulture domain

2018

International audience; Wine Cloud project is the first "Big Data" platform on the french viticulture value chain. The aim of this platform is to provide a complete traceability of the life cycle of the wine, from the wine-grower to the consumer. In particular, Wine Cloud may qualify as an agricultural decision platform that will be used for vine life cycle management in order to predict the occurrence of major risks (vine diseases, grape vine pests, physiological risks, fermentation stoppage, oxidation of vine, etc...). Also to make wine production more rational by offering winegrower a set of recommendation regarding their strategy's of production development. The proposed platform "Wine …

Big data analytics in healthcare: a systematic literature review

2020

The current study performs a systematic literature review (SLR) to synthesise prior research on the  applicability of big data analytics (BDA) in healthcare. The SLR examines the outcomes of 41 stu...

Performance Assessment of Critical Thinking: Conceptualization, Design, and Implementation

2020

Enhancing students’ critical thinking (CT) skills is an essential goal of higher education. This article presents a systematic approach to conceptualizing and measuring CT. CT generally comprises the following mental processes: identifying, evaluating, and analyzing a problem; interpreting information; synthesizing evidence; and reporting a conclusion. We further posit that CT also involves dealing with dilemmas involving ambiguity or conflicts among principles and contradictory information. We argue that performance assessment provides the most realistic—and most credible—approach to measuring CT. From this conceptualization and construct definition, we describe one possible framework for …