Demystifying Digital Scholarship

2012 ◽  
pp. 170-194
Author(s):  
Stephen M. Mutula
Keyword(s):  
Digital Media ◽  
Computational Linguistics ◽  
Language Processing ◽  
Large Scale ◽  
Computer Modelling ◽  
Clear Understanding ◽  
Digital Scholarship ◽  
Or Methodology ◽  
The Subject ◽  
Cyber Infrastructure

The subject of digital scholarship has attracted attention from the scientific community, publishing industry, and libraries, not only as a subject of study or methodology, but also as a tool that aims at addressing how new digital media and technologies can be leveraged to transform teaching, learning, and research. Digital scholarship provides an opportunity to develop cyber-infrastructure, facilitate large scale collaborative projects, and share research data as well as methodologies across disciplines. It enables scholars to develop research questions at appropriate level of sophistication and abstraction in order to allow large scale collaboration that cuts across disciplines, borders, and methodologies. Digital scholarship intersects many academic fields including but not limited to computational linguistics, cloud computing, human computer interaction, content management, cyber-infrastructure, e-publishing, computer modelling, cross language information retrieval, automated language processing, information visualisation, and social networks. Despite its increased pervasiveness, digital scholarship as a discipline of study or as a tool and technology for enhanced learning and research is yet to be widely understood. Besides, literature on the subject is limited. Digital scholarship is therefore a legitimate scholarly endeavour that needs research for clear understanding. This chapter therefore strives to demystify the concept of digital scholarship, its scope, tools for its study and application, what it aims to achieve, why it is important, and any challenges of implementing, it especially in scholarly environments.

Distant reading 940,000 online circulations of 26 iconic photographs

2021 ◽  
pp. 146144482110494
Author(s):  
Thomas Smits ◽  
Ruben Ros
Keyword(s):  
Digital Media ◽  
Language Processing ◽  
Large Scale ◽  
Application Programming Interface ◽  
Processing Technique ◽  
Distant Reading ◽  
Media Impact ◽  
Large Scale Analysis ◽  
Iconic Images ◽  
Application Programming

How do digital media impact the meaning of iconic photographs? Recent studies have suggested that online circulation, especially in a memeified form, might lead to the erosion, fracturing, or collapsing of the original contextual meaning of iconic pictures. Introducing a distant reading methodology to the study of iconic photographs, we apply the Google Cloud Vision Application Programming Interface (GCV API) to retrieve 940,000 online circulations of 26 iconic images between 1995 and 2020. We use document embeddings, a Natural Language Processing technique, to map in what contexts iconic photographs are circulated online. The article demonstrates that constantly changing configurations of contextual imagetexts, self-referential image-texts, and non-referential image/texts shape the online live of iconic photographs: ebbs and flows of slowly disappearing, suddenly resurfacing, and newly found meanings. While iconic photographs might not need captions to speak, this article argues that a large-scale analysis of texts can help us better grasp what they say.

scholarly journals Speech and Opinion Recognition from a Conversation

2020 ◽  
Vol 9 (4) ◽  
pp. 1189-1193
Keyword(s):  
Machine Learning ◽  
Computational Linguistics ◽  
Language Processing ◽  
Opinion Mining ◽  
Research Work ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Accuracy And Precision ◽  
The Subject ◽  
Processing Techniques

Speech Recognition is an interdisciplinary technique used to convert spoken language into text. It is a sub domain of computational linguistics and can be implemented using Machine Learning and Deep Learning Algorithms. Opinion Mining or Sentiment Analysis is a process which enables identifying opinions expressed by an author in a piece of text computationally. This opinion refers to the polarity of the expressed opinion, i.e. positive or negative. Through this research work, we aim to combine these two natural language processing techniques and devise a system that can take speech as the input and determine the sentiment behind the speakers’ words. The subject of the speech input may vary but the end goal is to recognize whether the attitude of the speaker towards the subject was positive or negative. The input will be converted to text and this text will then be classified using several different machine learning techniques. These include Naïve Bayes’ Classifier, Support Vector Machine, Logistic Regression and Decision Trees. After classification, the results for the three classifiers will be predicted and compared. Future scope of the project includes creating an ensemble of these classifiers to get better accuracy and precision of determining the sentiment of the speaker

A definition and short history of Language Engineering

1999 ◽  
Vol 5 (1) ◽  
pp. 1-16 ◽  
Author(s):  
HAMISH CUNNINGHAM
Keyword(s):  
Natural Language Processing ◽  
Software Engineering ◽  
Computational Linguistics ◽  
Language Processing ◽  
Large Scale ◽  
Short History ◽  
Diverse Range ◽  
Language Engineering ◽  
History Of ◽  
Current Characteristics

This paper discusses the nature, history and current characteristics of Language Engineering, which is contrasted with Natural Language Processing and Computational Linguistics, and which is shown to have attained its own distinct identity in recent years. Major trends in the field are examined, including its focus on large-scale practical tasks and on quantitative evaluation of progress, and its willingness to embrace a diverse range of techniques. The importance of software engineering in this context is noted, as are some sociological aspects of the practitioner group.

scholarly journals On the semantics of noun compounds

2013 ◽  
Vol 19 (3) ◽  
pp. 289-290 ◽  
Author(s):  
STAN SZPAKOWICZ ◽  
FRANCIS BOND ◽  
PRESLAV NAKOV ◽  
SU NAM KIM
Keyword(s):  
Computational Linguistics ◽  
Language Processing ◽  
Question Answering ◽  
Processing System ◽  
Text Summarization ◽  
Special Issue ◽  
Compound A ◽  
Research Challenges ◽  
The Subject ◽  
Noun Compounds

The noun compound – a sequence of nouns which functions as a single noun – is very common in English texts. No language processing system should ignore expressions like steel soup pot cover if it wants to be serious about such high-end applications of computational linguistics as question answering, information extraction, text summarization, machine translation – the list goes on. Processing noun compounds, however, is far from trouble-free. For one thing, they can be bracketed in various ways: is it steel soup, steel pot, or steel cover? Then there are relations inside a compound, annoyingly not signalled by any words: does potcontainsoup or is it for cookingsoup? These and many other research challenges are the subject of this special issue.

The Impact of Quantitative Easing on Emerging Markets – Literature Review

e-Finanse ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 67-76
Author(s):  
Piotr Bartkiewicz
Keyword(s):  
Emerging Markets ◽  
Large Scale ◽  
Empirical Literature ◽  
Quantitative Easing ◽  
Methodological Choices ◽  
The Subject ◽  
Methodological Approaches ◽  
The Impact ◽  
Sufficient Precision

AbstractThe article presents the results of the review of the empirical literature regarding the impact of quantitative easing (QE) on emerging markets (EMs). The subject is of interest to policymakers and researchers due to the increasingly larger role of EMs in the world economy and the large-scale capital flows occurring after 2009. The review is conducted in a systematic manner and takes into consideration different methodological choices, samples and measurement issues. The paper puts the summarized results in the context of transmission channels identified in the literature. There are few distinct methodological approaches present in the literature. While there is a consensus regarding the direction of the impact of QE on EMs, its size and durability have not yet been assessed with sufficient precision. In addition, there are clear gaps in the empirical findings, not least related to relative underrepresentation of the CEE region (in particular, Poland).

New Models of Content Creation and Scholarship at the Intersection of Library Spaces, Technologies, and Expertise

2018 ◽  
Author(s):  
Mike Nutt ◽  
Gregory Raschke
Keyword(s):  
Large Scale ◽  
Interactive Media ◽  
Scholarly Communication ◽  
Three Dimensions ◽  
Organizational Capabilities ◽  
High Definition ◽  
Content Creation ◽  
Full Life Cycle ◽  
Digital Scholarship ◽  
Digital Objects

Library spaces that blend collaboration areas, advanced technologies, and librarian expertise are creating new modes of scholarly communication. These spaces enable scholarship created within high-definition, large-scale visual collaborative environments. This emergent model of scholarly communication can be experienced within those specific contexts or through digital surrogates on the networked Web. From experiencing in three dimensions the sermons of John Donne in 1622 to interactive media interpretations of American wars, scholars are partnering with libraries to create immersive digital scholarship. Viewing the library as a research platform for these emergent forms of digital scholarship presents several opportunities and challenges. Opportunities include re-engaging faculty in the use of library space, integrating the full life-cycle of the research enterprise, and engaging broad communities in the changing nature of digitally-driven scholarship. Issues such as identifying and filtering collaborations, strategically managing staff resources, creating surrogates of immersive digital scholarship, and preserving this content for the future present an array of challenges for libraries that require coordination across organizations. From engaging and using high-technology spaces to documenting the data and digital objects created, this developing scholarly communication medium brings to bear the multifaceted skills and organizational capabilities of libraries.

Development of public-private partnerships in the regional dimension

2020 ◽  
Vol 93 (4) ◽  
pp. 133-145
Author(s):  
T. M. Barbysheva ◽  
Keyword(s):  
Public Administration ◽  
Russian Federation ◽  
Large Scale ◽  
Public Private Partnership ◽  
Financial Resources ◽  
Business And Society ◽  
Private Business ◽  
Private Partnership ◽  
The Subject ◽  
The Russian Federation

Public-private partnership (PPP) in the conditions of the set strategic tasks by the President of the Russian Federation until 2030 can become one of the sources of attracting financial resources for implementation of the large-scale projects. In this regard, it is relevant to systematize the forms of PPPs and the scope of their application. Based on a study of different views on the essence of PPP, as well as taking into account the development of public administration in Russia, the author proposed the use of public-public-private partnership as a form of development of cooperation between the state, private business and society. The polyformism of PPPs is reflected in the presented classification. Based on the analysis of PPP development in the regional context, hypothesis on the correlation between the level of PPP and the socio-economic development of the subject of the Russian Federation was confirmed.

Building a Culture of Ethical, Comparable, Authentic Assessment

2019 ◽  
pp. 463-481
Author(s):  
Andrew Reid ◽  
Julie Ballantyne
Keyword(s):  
Teaching And Learning ◽  
Large Scale ◽  
Authentic Assessment ◽  
Subject Area ◽  
Music Educators ◽  
System Level ◽  
Diverse Range ◽  
Effective Learning ◽  
School Based ◽  
The Subject

In an ideal world, assessment should be synonymous with effective learning and reflect the intricacies of the subject area. It should also be aligned with the ideals of education: to provide equitable opportunities for all students to achieve and to allow both appropriate differentiation for varied contexts and students and comparability across various contexts and students. This challenge is made more difficult in circumstances in which the contexts are highly heterogeneous, for example in the state of Queensland, Australia. Assessment in music challenges schooling systems in unique ways because teaching and learning in music are often naturally differentiated and diverse, yet assessment often calls for standardization. While each student and teacher has individual, evolving musical pathways in life, the syllabus and the system require consistency and uniformity. The challenge, then, is to provide diverse, equitable, and quality opportunities for all children to learn and achieve to the best of their abilities. This chapter discusses the designing and implementation of large-scale curriculum as experienced in secondary schools in Queensland, Australia. The experiences detailed explore the possibilities offered through externally moderated school-based assessment. Also discussed is the centrality of system-level clarity of purpose, principles and processes, and the provision of supportive networks and mechanisms to foster autonomy for a diverse range of music educators and contexts. Implications for education systems that desire diversity, equity, and quality are discussed, and the conclusion provokes further conceptualization and action on behalf of students, teachers, and the subject area of music.

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