Digital Commons Network^™

Adopting A Systematic Approach To Tasting Cider Within The Irish Craft Cider Industry, Richie Brady

Dissertations

Craft cider-makers produce less than 1% of Irish cider which is a significantly smaller percentage than craft producers in other beverage markets. This study contextualises Irish cider’s importance by exploring its rich history in Gaelic and Georgian Ireland. It then examines how that importance is not reflected in today’s market and posits that introducing a new systematic approach to tasting will enable cider to be viewed beyond what many see as a cheap, simple summer drink. A systematic approach to tasting is a structured and repeatable method of describing taste using a lexicon of agreed words. Unlike other drinks, such …

Communication At The Core: Exploring Decision-Making When Communication Is At The Heart Of An Organisation’S Strategy Development, Sinead Hewson

Theses

This investigation considers whether the position, territory and scope of the public relations function in organisations influences strategic thinking, decision-making, and results. Scholars say communication is a strategic management function and has a significant role to play (Grunig J.E., Dozier and IABC Research Foundation 1992, pp. 325–356; Kitchen, 1997, pp. 43–73). Yet, the strategic expertise of communicators is neither understood nor acknowledged outside of the sector. The study’s investigation into the issue and level of access to industry opinion-makers adds to the strategy discussion, while the proposed model of Adaptive Communication contributes to new knowledge.

Exploiting Bert And Roberta To Improve Performance For Aspect Based Sentiment Analysis, Gagan Reddy Narayanaswamy

Dissertations

Sentiment Analysis also known as opinion mining is a type of text research that analyses people’s opinions expressed in written language. Sentiment analysis brings together various research areas such as Natural Language Processing (NLP), Data Mining, and Text Mining, and is fast becoming of major importance to companies and organizations as it is started to incorporate online commerce data for analysis. Often the data on which sentiment analysis is performed will be reviews. The data can range from reviews of a small product to a big multinational corporation. The goal of performing sentiment analysis is to extract information from those …

Combination Of Facebook Prophet And Attention-Based Lstm With Multi- Source Data For Indian Stock Market Prediction, Pavan Nagesh

Dissertations

The stock market prediction has been the subject of interest to various researchers and analysts due to its highly unpredictable nature and serves as a perfect example for time series forecasting. Over the years deep learning models such as Long-Term Short-Term Memory and statistical models such as Autoregressive Integrated Moving Average have shown promising results in predicting future stock prices. But the results from these models cannot be generalized as they fail to incorporate the dynamics of the market and influence of several external factors such as political, social, investor's emotion, etc on stock markets. Recently Facebook’s creation of the …

Finetuning Bert And Xlnet For Sentiment Analysis Of Stock Market Tweets Using Mixout And Dropout Regularization, Shubham Jangir

Dissertations

Sentiment analysis is also known as Opinion mining or emotional mining which aims to identify the way in which sentiments are expressed in text and written data. Sentiment analysis combines different study areas such as Natural Language Processing (NLP), Data Mining, and Text Mining, and is quickly becoming a key concern for businesses and organizations, especially as online commerce data is being used for analysis. Twitter is also becoming a popular microblogging and social networking platform today for information among people as they contribute their opinions, thoughts, and attitudes on social media platforms over the years. Because of the large …

New Beginnings In Reading (Irish) Literature: A Gastrocritical Look At George Moore's 'Home Sickness' And Colm Toibin's Brooklyn, Anke Klitzing

Conference papers

This chapter showcases gastrocriticism as a new beginning in literary theory and criticism, offering new readings of (Irish) literature. Gastrocriticism is an emerging form of literary criticism focused on human relationships with each other and to the natural world through food. It is informed by the concepts and insights of gastronomical scholarship and Food Studies and pays particular attention to the role food and foodways play in literary writing. The texts investigated here explore new beginnings themselves. In George Moore’s ‘Homesickness’ (1903), an emigrant on a return visit from America must decide between a farmer’s life in Ireland and his …

Should Acoustic Simulation Technology Be Utilised In Architectural Practice? Does It Have The Potential For Bim Integration?, Bim Tudublin, Keith Harvey

Capstone Reports

The research presented in this paper, firstly, aims to convey the importance of our acoustic environment through focusing on the effects of undesirable acoustic conditions on cognitive abilities in spaces where cognitive performance is of the utmost concern, our learning environments. Secondly, it aims to investigate current state-of-the-art acoustic simulation methods, available platforms, and their levels of interoperability with architectural BIM authoring software. Structured interviews were carried out with 7 Irish architects and architectural technologists to determine if a disconnection between architectural design and acoustic performance exists and to identify the advantages and disadvantages of current workflows for acoustic performance …

Food Edu-Care In The Primary Curriculum: A Collaborative Case Study In An Inner City Deis Gaelscoil, Caroline Mcgowan

Theses, Doctoral

This applied case study explored the role of food education and its potential to nurture the lives of children who may experience disadvantage socially, culturally and economically. The research concedes at the outset that the role of ‘food’ in education is complex, that schools do not deal with curriculum matters alone but also with social justice policy issues, and that school-based ‘food poverty’ policy interventions to date are broadly motivated by nutritional concerns.

The research was informed by a critical pedagogy perspective using a collaborative enquiry design focused on individual and collective agency at the school level. Multiple theoretical and …

Evaluation Report Of The Irish Citizens’ Assembly On Gender Equality, Jane Suiter, Kirsty Park, Yvonne Galligan, David M. Farrell

Reports

This report presents some of the core findings from a project designed to track the process of the Irish Citizens’ Assembly, with particular focus on the quality of the deliberative process and the attitudes of the members towards the process.
The evaluation team observed all public sessions of the assembly, surveyed members each weekend and interviewed members as well as the organisation team. Overall we found a very well run process, with high deliberative quality and good levels of knowledge gain and understanding by members. The transition to online was well thought through and carried out efficiently. Throughout this report …

Language Policy-Making In Ireland: A Preliminary Study Of The Consultation Process Of Languages Connect, Iker Erdocia, Susanna Nocchi, Mary Ruane

Articles

This study aims to explore the policy-making process of Languages Connect - Ireland’s Strategy for Foreign Languages in Education 2017-2026. For that purpose, we concentrate on the consultation process adopted by the Department of Education and Skills. Drawing on a concept of foreign language competence as human capital, the aim of this study is twofold. Firstly, we investigate the extent to which the submissions to the consultation process form a sequence with the final document, Languages Connect; secondly, we examine the Irish government documents and compare the submissions reflecting the government approach to language with those problematising such discourse. The …

French Military Masculinities And The Birth Of Cinéma Colonial: Triangulating Queer Desire In Jacques Feyder’S L’Atlantide (1921), Barry Nevin

Articles

Jacques Feyder’s L’Atlantide (1921) is widely considered not only cinéma colonial’s first major representative example but also one of the genre’s most emblematic narratives. However, ambiguities in the film’s portrayal of the mission civilisatrice have received comparatively little analysis. This article aims to expand on our understanding of L’Atlantide and the mirror it held up to interwar France in three main stages. First, it situates the film’s discourses of gender and colonialism within present post-colonial scholarship. Second, it analyses the aesthetic and political contexts of L’Atlantide, paying particular attention to how the film offered a remedy to France’s ailing postwar …

The Rules Of The Game: Discursive Norms And Limits In The Field Of Online Art Magazines, Tommie Soro, Tim Stott, Brendan K. O'Rourke

Articles

This article employs methods of discourse analysis and corpus linguistics within a Bourdieusian theoretical framework to examine the discursive norms and limits regulating the construction of reputation by online contemporary art magazines. Moving between quantitative and qualitative analysis of the websites of online contemporary art magazines, the article identifies salient patterns surrounding the use of modifiers and links these patterns to the normative principles of the artworld. Its findings suggest that positive evaluation is a norm but that the use of explicitly evaluative modifiers is prohibited, that artists are predominantly classified according to nationality and that these classifications can construct …

Imagining The Future In Irish Budgets 1970–2015: A Mixed-Methods Discourse Analysis, Ewan Macdonald, Brendan K. O'Rourke, John Hogan

Articles

Annual budgets are key to constituting and governing imagined futures. This paper examines how the signifier ‘future’ is constructed within the Irish budget speeches delivered by finance ministers to parliament between 1970 and 2015. To investigate the discourses of these budget speeches, we employ post-structural discourse theory operationalised through two methods: close reading and corpus-linguistic analysis. Close reading is used to identify the discourses employed and how meanings of signifiers were partially fixed at different moments. This was further examined using corpus-linguistics, specifically a collocate analysis of the word ‘future’, allowing further close examination of such collocates in context. Thus, …

Applying A Food Studies Perspective To Irish Studies, Máirtín Mac Con Iomaire

Books/Book Chapters

Food studies and Irish Studies stem from the same ‘studies’ phenomena and share many similarities in their journeys from the margins to becoming established academic disciplines. A common feature of the new academic studies movement, whether French, gender, postcolonial, cinematic, African, Irish or food is their interdisciplinary or transdisciplinary nature. They become more than any one discipline and scholars within these new fields continuously investigate from various angles, often adopting ‘self-reflexivity’ as an approach. Stereotypical postcolonial notions of the drunken or ‘stage Irishman’, or food’s association with the quotidian domestic, and therefore, feminine, led some academics up until relatively recently …

Existing Competencies In The Teaching Of Ethics In Computer Science Faculties, Ethics4eu Consortium

Reports

This report is one of the deliverables for the Ethics4EU project. It presents results obtained from a survey conducted in early 2020 that polled faculty from Computer Science and related disciplines on teaching practices in Computer Ethics in Computer Science across Europe. The survey was completed by respondents from 61 universities across 23 European countries. Participants were surveyed on whether or not Computer Ethics is taught to Computer Science students at each institution, the reasons why Computer Ethics is or is not taught, how Computer Ethics is taught (for example, as a standalone course or embedded within other courses), the …

Finding Your Voice In Academic Writing, Deirdre Mcquillan

Books/Book Chapters

Series of books written for students of business with students as co-creators

A Two-Level Information Modelling Translation Methodology And Framework To Achieve Semantic Interoperability In Constrained Geoobservational Sensor Systems, Paul Stacey

Doctoral

As geographical observational data capture, storage and sharing technologies such as in situ remote monitoring systems and spatial data infrastructures evolve, the vision of a Digital Earth, first articulated by Al Gore in 1998 is getting ever closer. However, there are still many challenges and open research questions. For example, data quality, provenance and heterogeneity remain an issue due to the complexity of geo-spatial data and information representation.

Observational data are often inadequately semantically enriched by geo-observational information systems or spatial data infrastructures and so they often do not fully capture the true meaning of the associated datasets. Furthermore, data …

Zero-Shot Action Recognition With Knowledge Enhanced Generative Adversarial Networks, Kaiqiang Huang, Luis Miralles-Pechuán, Susan Mckeever

Conference papers

Zero-Shot Action Recognition (ZSAR) aims to recognise action classes in videos that have never been seen during model training. In some approaches, ZSAR has been achieved by generating visual features for unseen classes based on the semantic information of the unseen class labels using generative adversarial networks (GANs). Therefore, the problem is converted to standard supervised learning since the unseen visual features are accessible. This approach alleviates the lack of labelled samples of unseen classes. In addition, objects appearing in the action instances could be used to create enriched semantics of action classes and therefore, increase the accuracy of ZSAR. …

Research On Medical Question Answering System Based On Knowledge Graph, Zhixue Jiang, Chengying Chi, Yun Yun Zhan

Articles

To meet the high-efficiency question answering needs of existing patients and doctors, this system integrates medical professional knowledge, knowledge graphs, and question answering systems that conduct man-machine dialogue through natural language. This system locates the medical field, uses crawler technology to use vertical medical websites as data sources, and uses diseases as the core entity to construct a knowledge graph containing 44,000 knowledge entities of 7 types and 300,000 entities of 11 kinds. It is stored in the Neo4j graph database, using rule-based matching methods and string-matching algorithms to construct a domain lexicon to classify and query questions. This system …

Situated Immersive Gaming Environments For Irish Language Learning, Naoise Collins

Doctoral

In this thesis, three cycles of design based research are outlined, implementing a situated immersive virtual reality game for Irish language learning. It was undertaken in order to investigate a potential technological solution to improve the limited number of daily Irish adult speakers in Ireland, 3%. It examines the intersection between game based learning, Irish language learning and virtual reality technology and the methodological approach undertaken follows a design based research paradigm. The research focus is on motivation and anxiety through interaction with a virtual reality game. It offers several contributions to current literature including: The utilisation of the Second …

The Nature Of Verbs In Sign Languages: A Role And Reference Grammar Account Of Irish Sign Language Verbs, Irene Murtagh

Articles

This paper is concerned with the special nature of sign language verbs, in particular to this research, Irish Sign Language verbs. We use Role and Reference Grammar to provide a definition of the structure of lexical entries that are sufficiently rich and robust in nature to represent Irish Sign Language verbs. Role and Reference Grammar takes language to be a system of communicative social action, and accordingly, analysing the communicative functions of grammatical structures plays a vital role in grammatical description and theory from this perspective. This work is part of research on the development of a linguistically motivated computational …

Forward: Teanga, 11(Special Issue 11), Pp. Iii-Xiii, Irene Murtagh, Lorraine Leeson

Articles

Welcome to this special issue of TEANGA, which presents a selection of papers on the linguistics and applied linguistics of Irish Sign Language. This publication is timely, coming in the academic year that celebrates the nineteenth anniversary of the establishment of the Centre for Deaf Studies at Trinity College Dublin (est. 2001), and the year in which when Irish Sign Language Act (2017) is due to formally commence

Detecting Interlocutor Confusion In Situated Human-Avatar Dialogue: A Pilot Study, Na Li, John D. Kelleher, Robert J. Ross

Conference papers

In order to enhance levels of engagement with conversational systems, our long term research goal seeks to monitor the confusion state of a user and adapt dialogue policies in response to such user confusion states. To this end, in this paper, we present our initial research centred on a user-avatar dialogue scenario that we have developed to study the manifestation of confusion and in the long term its mitigation. We present a new definition of confusion that is particularly tailored to the requirements of intelligent conversational system development for task-oriented dialogue. We also present the details of our Wizard-of-Oz based …

Interactive Learning Approach For Arabic Target-Based Sentiment Analysis, Husamelddin Balla, Marisa Llorens, Sarah Jane Delany

Conference papers

Recently, the majority of sentiment analysis researchers focus on target-based sentiment analysis because it delivers in-depth analysis with more accurate results as compared to traditional sentiment analysis. In this paper, we propose an interactive learning approach to tackle a target-based sentiment analysis task for the Arabic language. The proposed IALSTM model uses an interactive attentionbased mechanism to force the model to focus on different parts (targets) of a sentence. We investigate the ability to use targets, right and left contexts, and model them separately to learn their own representations via interactive modeling. We evaluated our model on two different datasets: …

Managing A Mega-Project To Explore And Enhance Careers: Insights From Global Entrepreneurial Talent Management 3, Alison Pearce, Brian Harney, Mark Bailey, Katarzyna Dziewanowska, Janine Bosak, Peter Pease, Brenda Stalker, Dimitra Skoumpopoulou, Paul Doyle, Samuel Clegg, Alireza Shokri, Suzanne Crane, Susan O'Donnell, Rose Quan, Ilsang Ko, Katarina K. Mihelič, Robert Kaše, Matej Černe, Julie Brückner, John Mcmackin, Szu-Hsin Wu, Jose Aldo Valencia Hernandez, Huan Sun

Other

Contemporary careers are changing and face many challenges. This creates a need for innovative cross-cultural and multidisciplinary research. In this chapter, twenty-three participants in a European/South Korean research mega-project provide an overview of their diverse experiences of trans-national, trans-sectoral, and trans-generational work. First, the project’s architects explore the context and rationale in five countries, selection of partners, securing funding and the underpinning principles of ‘strategic entrepreneurship’ and ‘multi-sociation’. Key workstream leaders then outline the project content, including diplomacy in research design, reflecting gender, ensuring impact, capturing learning, communicating to various audiences. Major aspects of Implementation are described: quality management, managing …

Parents' Experiences Of A Language-Focused Home Visiting Scheme In Ireland, Aisling Ni Dhiorbhain Dr, Maire Mhic Mhathuna, Padraig Ó Duibhir Dr

Articles

This article reports parents’ experiences of the Tús Maith (Good Start) home visiting scheme in South-West Ireland. The goal of Tús Maith is to support parents who wish to speak Irish to their children at home in the Kerry Gaeltacht, an Irish-speaking heartland area. Home visitors spend an hour a week, over a period of six weeks, interacting with children and parents with varying levels of competency in Irish. Home visitors who are native speakers of Irish, offer individualised guidance on how to promote the use of Irish as a home language, while encouraging families to engage in activities …

Automated Rhythmic Humanisation As A Structural Marker In Music, Linda Adams, Liam O’Sullivan, Charlie Cullen

Research Outputs: 2025-Present

No abstract provided.

Let Knowledge Make Recommendations For You, Zhiixue Jiang, Chengying Chi, Yun Yun Zhan

Articles

The knowledge graph can make more accurate personalized recommendations for the recommendation system, but it is also interpretative and has traces to follow. The purpose of the recommendation system is to recommend a series of unobserved items for users. At present, recommendation systems based on knowledge graphs are mainly implemented in two ways: Embedding-based and path based. Embedding methods usually directly use information from the knowledge graph to enrich the representation of an item or user. Still, it failed to introduce multi-hop relations, and it is challenging to use semantic network information. A path-based recommendation algorithm utilizes the knowledge graph …

Combining Bert With Contextual Linguistic Features For Identification Of Propaganda Spans In News Articles, Arjumand Younus, Muhammad Atif Qureshi

Conference papers

Recent endeavours at detection of propaganda in news articles treat this as a fine-grained problem of detecting it within fragments; and hence, transformer based embeddings perform decently in such detection. We build our propaganda detection framework on top of a transformer model simultaneously enriching it with contextual linguistic information of surrounding part-of-speech tags and LIWC categories the word itself belongs to. The evaluation outcomes being encouraging indicate a huge potential for this line of reasoning in natural language processing of news text.

Detecting Hacker Threats: Performance Of Word And Sentence Embedding Models In Identifying Hacker Communications, Susan Mckeever, Brian Keegan, Andrei Quieroz

Conference papers

Abstract—Cyber security is striving to find new forms of protection against hacker attacks. An emerging approach nowadays is the investigation of security-related messages exchanged on deep/dark web and even surface web channels. This approach can be supported by the use of supervised machine learning models and text mining techniques. In our work, we compare a variety of machine learning algorithms, text representations and dimension reduction approaches for the detection accuracies of software-vulnerability-related communications. Given the imbalanced nature of the three public datasets used, we investigate appropriate sampling approaches to boost detection accuracies of our models. In addition, we examine how …