Browsing Theses by Subject "Applied Data Science"
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A comparison between Bayesian penalized regression priors: lasso and regularized horseshoe
(2021)A comparison is performed between Bayesian penalized regression priors: the lasso and regularized horseshoe using the statistical programming language R. This study aims to provide researchers with insights into the use ... -
A Web Crawler for Automated Document Retrieval in Health Policy
(2021)Document retrieval in Health Policy Research is labor-intensive and inefficient. To investigate the efficacy and transparency of health policy processes such as drug approval, reports are manually collected from the websites ... -
An Implementation and Assessment of Semantic Search Few-Shot Classification
(2021)This thesis compares multiple methods of classification following cosine-similarity calculation from semantic search with Sentence-BERT (SBERT), as well as various class representations in few-shot classification with ... -
Analysing the Social-Economic Impact of Wireless Mobile Services During and Before COVID-19 Using Topic Modelling and Sentiment Analysis on Tweets
(2021)Social media platforms can be used as a data source for measuring public opinion on various topics such as wireless mobile services. Twitter is a suitable platform that is able to map the sentiments. In this research the ... -
Analyzing gender bias in children’s television shows
(2022)In this research gender bias was analyzed in two of the most watched children’s television shows in the Netherlands, Sesamstraat and Het Klokhuis, due to the impressionability of the target audience of these shows. Automated ... -
Automated summary scoring using a linguistic feature approach
(2021)Summary-writing tasks are often used to assess reading comprehension of students. Grading these types of tasks is time-consuming and teachers have difficulty being consistent when grading. The goal of this research is ... -
Change point detection in relational event history data based on moving window approach with optimal window length.
(2022)This paper proposes a strategy to study the social dynamics in timestamped data. The analysis is based on the Relational Event History (REH). It introduces Apollo 13 data to illustrate the study objective. The goal of ... -
Change point detection in relational event history data based on moving window approach with optimal window length.
(2022)This paper proposes a strategy to study the social dynamics in timestamped data. The analysis is based on the Relational Event History (REH). It introduces Apollo 13 data to illustrate the study objective. The goal of ... -
Comparison of the residual interpolation optimized for ozone (RIO) estimates and actual PM2.5 measurements within the municipality of Utrecht
(2021)Current air-quality maps in The Netherlands are produced on a 4x4 km² spatial resolution by a interpolation model, called RIO. This model is based on a low resolution measurement network, which misses air-quality on ... -
Discovering the Causal Structure in Subjective Well-Being Data in the 2016-2017 LAPOP Americas Barometer
(2022)Using causal discovery methods (the pc algortihm combined with multiple imputation methods) an attempt was made to discover the causal structure in the 2016/2017 Lapop survey data. This was done to help answer the question ... -
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Exploratory Analysis on Linguistic Patterns of Fake and Real News Related to the COVID-19 Pandemic
(2021)Since the first COVID-19 case, the world has been simultaneously dealing with a pandemic and the consequences of fake news shared about it. We believe that fake and real news have different linguistic characteristics. ... -
How does the language of corpora from radicalized communities discovered on Parler compare to online conversations on Twitter regarding the 2021 Capitol riots and election fraud?
(2021)In light of the unprecedented 2021 Capitol riots and the 2020 U.S. presidential election, there is no doubt that social media technologies like Parler facilitated online radicalization of individuals towards violence. As ... -
Improving an Automated Fog Detection System with Transfer Learning
(2021)Dense fog conditions can result in transportation disruptions when motorists encounter significant reductions in visibility. Caution needs to be heeded when these conditions are experienced an early-warning systems are one ... -
Long-term Prediction of Master Student Influx in Computing Science
(2022)The influx of students is not only an important source of academic deployment but also influences national development. Higher education in the Netherlands has expanded rapidly in the last two decades, and the Dutch labour ...