Searched for: subject%3A%22sentiment%255C%2Banalysis%22
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Swart, Stijn (author)
Recommender systems are a useful tool for match- ing readers with books. However, the lack of user data from children, both due to privacy concerns as well as a low incentive to leave reviews, results in existing systems proving inadequate at recom- mending to the youth. It has been shown that chil- dren have a different relation regarding...
bachelor thesis 2023
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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
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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
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Foroughi, M. (author), de Andrade, Bruno (author), Pereira Roders, A. (author)
Social media has been increasingly used by various communities to express their opinions, values, and feelings about cities and, in particular, built heritage. Social media platforms, interactive technologies used by virtual communities and networks became an important source for recent innovative studies on participatory heritage management....
book chapter 2022
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Isch, Calvin (author), ten Thij, M.C. (author), Todd, Peter M. (author), Bollen, Johan (author)
Individuals can hold contrasting views about distinct times: for example, dread over tomorrow’s appointment and excitement about next summer’s vacation. Yet, psychological measures of optimism often assess only one time point or ask participants to generalize about their future. Here, we address these limitations by developing the optimism...
journal article 2022
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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
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Van Steenweghen, Abel (author)
Sentiment analysis techniques estimate the opinion of the au- thor of a text towards an entity from that text. Current sen- timent analysis techniques are based on language features or deep learning methods. However, they do not make use of the extensive background knowledge that human readers can have. This makes it difficult for these models...
bachelor thesis 2021
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Koffas, Stefanos (author)
Deep learning has made tremendous success in the past decade. As a result, it is becoming widely deployed in various safety and security-critical applications like autonomous driving, malware detection, fingerprint identification, and financial fraud detection. It was recently shown that deep neural networks are susceptible to multiple attacks...
master thesis 2021
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Giunti, Guido (author), Claes, Maëlick (author), Zubiete, Enrique Dorronzoro (author), Rivera-Romero, Octavio (author), Gabarron, Elia (author)
Introduction: Multiple sclerosis (MS) is one of the world's most common neurologic disorders. Social media have been proposed as a way to maintain and even increase social interaction for people with MS. The objective of this work is to identify and compare the topics on Twitter during the first wave of COVID-19 pandemic. Methods: Data was...
book chapter 2021
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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
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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
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Pardoel, A.M. (author), Goslinga, D.B. (author), Kalisvaart, R.D. (author), Paulsen, C.R. (author), de Wolf, S.C.M. (author)
The department of Urbanism at the TU Delft, our clients, research the sentiment in different places, times, ages or genders and compare them to each other. This report describes the purpose, design, implementation and accuracy of a web tool created to get insights into the sentiment people have, de- ducted from social media. The aim of our...
bachelor thesis 2020
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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
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Kreuk, Laura (author)
Consumers share their experiences or opinion about products or brands in various channels nowadays, for example on review websites or social media. Sentiment analysis is used to predict the sentiment of text from consumers about these products or brands in order to understand the tone of customers towards these products or brands. This thesis...
master thesis 2018
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Kolthof, Daan (author)
In several machine learning problems, a relatively small subproblem is present in which combinations of (negating) objects or structures result in a negation or otherwise other classification compared to when these (negating) objects are not present. To be more specific, a variant of the XOR problem is present in a small amount of objects in...
master thesis 2018
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Perrenet, Yannick (author)
A statistical approach to depict stock volatility based on general news headlines by exploiting Machine Learning methods such as sentiment analysis and neural networks. The results from the analysis are then used in the financial market with a particular trading strategy, called a bottom straddle. We conclude that not enough information can be...
bachelor thesis 2018
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Razoux Schultz, Lex (author)
Automated Sentiment Classification (SC) on short text fragments has been an upcoming field of research. Different machine learning techniques and word representation models have proven to be successful in classifying sentiment of opinion expressions in various domains, i.e. different topics or source media. However, when training on a source...
master thesis 2018
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Ye, Mengmeng (author)
Nowadays, more and more products are sold online. Under popular products, there are normally hundreds or even thousands of reviews left by the previous customers. These reviews help potential buyers understand the products better and make the purchase decision. However, most shopping websites only give an overview score (e.g. 3 star out of 5) of...
master thesis 2017
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Prasetyo, N.D. (author)
Twitter is a microblogging service that has more than 500 million messages on a daily basis. Scholars has been utilizing Twitter to monitor people reactions in political activities, such as debates and campaigns. By doing so, some of them claim that a forecast or prediction to an election can be made. Using the data from 2014 Indonesia...
master thesis 2014
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Visser, P. (author)
We conclude this report with a system design and proof-of-concept to show how an adaptable hybrid sentiment classification system is able to improve sentiment analysis for organisations. GreenOnline, a service company in the field of customer services, wants to be able to quantify sentiment for organisations precisely, to create new services for...
master thesis 2013
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