Searched for: subject%3A%22topic%255C+modeling%22
(1 - 20 of 25)

Pages

document
Patandin, Ayush (author)
Colorectal cancer is a widespread disease that significantly impacts the health of individuals worldwide. Understanding the needs and concerns of those affected by this disease is crucial for improving patient outcomes and enhancing the quality of care. Patient web forums have emerged as valuable platforms for individuals to openly share their...
master thesis 2023
document
Özmetin, Doruk (author)
In this study, we try to understand what kind of topics and frameworks are covered by the popular software testing books, and see whether these topics satisfy the industry needs and address the rising trends. To define "popular" software testing books, we formulated three heuristics. The topics of the books are analyzed through LDA topic...
bachelor thesis 2023
document
Ostrovskis, Lukas (author)
Continuous Integration (CI) is a software development technique that enhances software quality and development efficiency, but its implementation usually depends on the project's context. This creates an opportunity for studying real-world CI projects on GitHub, focusing on their CI metrics and best practices. In this paper, we explore various...
bachelor thesis 2023
document
van den Berg, Jesper (author)
Capabilities and limitation of topic modeling were explored through a literature review. A design opportunity was recognized in literature review for students as novice researchers. Interviews were held with master students to gain insight in their literature review process. Students reported issues with the process of related document...
master thesis 2023
document
de Boer, Niels (author)
Increased pace of developments strain the ability of policy makers to be timely and sufficiently informed. While there are already sufficient methods available for gauging what plays a role, topic modelling is a novel method that has the potential to be deployed at high speed with low effort. Values play an important role as it shapes policy...
master thesis 2023
document
Xu, Y. (author), Krishnakumari, P.K. (author), Yorke-Smith, N. (author), Hoogendoorn, S.P. (author)
COVID-19 significantly influenced travel behaviours and public attitudes towards public transport. Various studies have illustrated complicated factors related to long-term travel behaviour, indicating difficulty in understanding and predicting post-pandemic long-term travel behaviour via traditional methods. In these complex circumstances,...
conference paper 2023
document
Hoseini, Mohamad (author), Melo, Philipe (author), Benevenuto, Fabricio (author), Feldmann, Anja (author), Zannettou, S. (author)
QAnon is a far-right conspiracy theory that has implications in the real world, with supporters of the theory participating in real-world violent acts like the US capitol attack in 2021. At the same time, the QAnon theory started evolving into a global phenomenon by attracting followers across the globe and, in particular, in Europe, hence it is...
conference paper 2023
document
Bach, Elias (author)
Climate change is an omnipresent issue in politics, industry, science, and society. Scientist knew of its existence for several decades, but only recently has the perception of it shifted from a solely environmental problem to a matter of international security. Climate change is thought to impact the likelihood of extreme weather events,...
master thesis 2022
document
Hendrikse, Mila (author)
in this research, I study the Nitrogen Crisis by comparing Twitter content to real-life events, answering the following research question: How does the intensity of emotions and discussed topics on social media relate to the characteristics of real-life demonstrations during a sustainability policy crisis? To characterise online events,...
master thesis 2022
document
Khalil, Mohammad (author), Wong, L.Y.J. (author), Er, Erkan (author), Heitmann, Martin (author), Belokrys, Gleb (author)
Twitter is a very popular microblogging platform that has been actively used by scientific communities to exchange scientific information and to promote scholarly discussions. The present study aimed to leverage the tweet data to provide valuable insights into the development of the learning analytics field since its initial days. Descriptive...
conference paper 2022
document
Hendrikse, Mila (author)
In May 2019, the Dutch Council of State rejected the national approach for reducing nitrogen emissions in Dutch nature. Farmers were targeted by the policy change: all licenses for agricultural expansion were revoked, affecting the financial livelihoods of farmers. Farmers did not take this well and, using social media platforms, started...
master thesis 2021
document
El-Taliawi, Ola G. (author), Goyal, N. (author), Howlett, Michael (author)
While the emergence of big data raises concerns regarding governance and public policy, it also creates opportunities for diversifying the toolkit for analysis for the policy sciences as a whole, i.e., research concerning policy analysis as well as policy studies. Further, it opens avenues for practice, which together with research requires...
journal article 2021
document
Goyal, N. (author), Howlett, Michael (author)
Although understanding initial responses to a crisis such as COVID-19 is important, existing research on the topic has not been systematically comparative. This study uses topic modeling to inductively analyze over 13,000 COVID-19 policies worldwide. This technique enables the COVID-19 policy mixes to be characterized and their cross-country...
journal article 2021
document
de Wildt, T.E. (author), van de Poel, I.R. (author), Chappin, E.J.L. (author)
We propose a new approach for tracing value change. Value change may lead to a mismatch between current value priorities in society and the values for which technologies were designed in the past, such as energy technologies based on fossil fuels, which were developed when sustainability was not considered a very important value. Better...
journal article 2021
document
Draws, T.A. (author), Liu, Jody (author), Tintarev, N. (author)
Support or opposition concerning a debated claim such as abortion should be legal can have different underlying reasons, which we call perspectives. This paper explores how opinion mining can be enhanced with joint topic modeling, to identify distinct perspectives within the topic, providing an informative overview from unstructured text. We...
conference paper 2021
document
Panichella, A. (author)
Context: Latent Dirichlet Allocation (LDA) has been successfully used in the literature to extract topics from software documents and support developers in various software engineering tasks. While LDA has been mostly used with default settings, previous studies showed that default hyperparameter values generate sub-optimal topics from software...
journal article 2021
document
de Wildt, T.E. (author)
This thesis introduces an approach to support the long-term social acceptance of energy systems by addressing value conflicts embedded in regulatory and technical designs. When designing energy systems, the realisation of some values can conflict with the realisation of other values. The decision to deploy energy systems therefore inevitably...
doctoral thesis 2020
document
Liu, J.C.M. (author)
Since the introduction of the Web, online platforms have become a place to share opinions across various domains (e.g., social media platforms, discussion fora or webshops). Consequently, many researchers have seen a need to classify, summarise or categorise these large sets of unstructured user-generated content. A field related to this task is...
master thesis 2020
document
Koks, Iris (author)
In today's digital world, customers give their opinions on a product that they have purchased online in the form of reviews. The industry is interested in these reviews, and wants to know about which topics their clients write, such that the producers can improve products on specific aspects. Topic models can extract the main topics from large...
master thesis 2019
document
Panichella, A. (author)
Latent Dirichlet Allocation (LDA) has been used to support many software engineering tasks. Previous studies showed that default settings lead to sub-optimal topic modeling with a dramatic impact on the performance of such approaches in terms of precision and recall. For this reason, researchers used search algorithms (e.g., genetic...
conference paper 2019
Searched for: subject%3A%22topic%255C+modeling%22
(1 - 20 of 25)

Pages