Browsing NTNU Open by Author "Gambäck, Björn"

Now showing items 1-20 of 46

    • A Deep Learning Ensemble Approach to Gender Identification of Tweet Authors 

      Gopinathan, Manu; Berg, Per-Christian (Master thesis, 2017)
      Author profiling is a field within Natural Language Processing, in addition to being a sub-field of the broader research area concerning authorship analysis. It aims to classify personal traits of authors, such as gender ...

    • A Normative Study on Applying Deep Learning to Native Language Identification 

      Erikssen, Iselin Bjørnsgaard (Master thesis, 2018)
      This thesis is a normative study on various approaches within native language identification (NLI), with the intention of highlighting the shortcomings and strong points of implementing deep neural networks for this task. ...

    • A Platform Agnostic Dual-Strand Hate Speech Detector 

      Meyer, Johannes Skjeggestad; Gambäck, Björn (Chapter, 2019)
      Hate speech detectors must be applicable across a multitude of services and platforms, and there is hence a need for detection approaches that do not depend on any information specific to a given platform. For instance, ...

    • A Shallow Neural Network Architecture for Native Language Identification 

      Slotte, Hans Olav (Master thesis, 2018)
      This thesis looks at using Multilayer Perceptron (MLP) classifiers for Native Language Identification both on their own and as part of an ensemble classifier. This approach has been used less than more traditional statistical ...

    • Adaptive Intrusion Detection - Using Machine Learning in the Context of Intrusion Detection Systems 

      Gerstle, Nicholas Olav (Master thesis, 2016)
      -This report covers an initial foray in applying a number of machine learn- ing algorithms to the problem of classifying labeled network traffic flows in the ISCX IDS data set. The ISCX data set was developed by the ...

    • An Application of Evolutionary Algorithms to Music: - Co-Evolving Melodies and Harmonization 

      Olseng, Olav Andreas E (Master thesis, 2016)
      Algorithmic composition is a field that is close to 60 years old, and has seen much research. Systems today are able to do a wide range of compositional tasks, ranging from simple melody generation to fully automated ...

    • Aspect-based Sentiment Analysis 

      Kristiansen, Tommy (Master thesis, 2018)
      In this thesis a genetic algorithm is used to evolve syntax-patterns that can tell which parts of a sentence that is relevant or irrelevant with regards to sentiment analysis towards a given entity in the sentence.

    • Automatic Classification of Pro-Eating Disorder Twitter Accounts with Personality as a Feature 

      Nornes, Andrea Hollung; Gran, Martine Alvilde (Master thesis, 2019)
      En person eller en gruppe som anser spiseforstyrrelser som en livsstil, i stedet for en dødelig psykisk lidelse, omtales som å være pro-spiseforstyrrelse eller pro-ED (fra det engelske ordet pro-Eating Disorder). ...

    • Automatic Classification of Pro-Eating Disorder Twitter Accounts with Personality as a Feature 

      Gran, Martine Alvilde; Nornes, Andrea Hollung (Master thesis, 2019)
      En person eller en gruppe som anser spiseforstyrrelser som en livsstil, i stedet for en dødelig psykisk lidelse, omtales som å være pro-spiseforstyrrelse eller pro-ED (fra det engelske ordet pro-Eating Disorder). ...

    • Automatic Sarcasm Detection in Twitter Messages 

      Ræder, Johan Georg Cyrus Mazaher (Master thesis, 2016)
      In the past decade, social media like Twitter have become popular and a part of everyday life for many people. Opinion mining of the thoughts and opinions they share can be of interest to, e.g., companies and organizations. The ...

    • Characterizing Twitter Data using Sentiment Analysis and Topic Modeling 

      Therkelsen, Jonas Foyn; Steinskog, Asbjørn Ottesen (Master thesis, 2016)
      As the global community becomes increasingly connected, it gets more and more common to express thoughts and opinions through social networking websites. Twitter, currently the largest microblog website in the world, is ...

    • Classification of Pro-Eating Disorder Users on Twitter 

      Giæver, Ingrid Nelson (Master thesis, 2018)
      For the purpose of this study, 7096 users and 10.7M tweets were collected from Twitter and manually annotated. The data set included users taking part in pro-ED communities and users whose tweets were either recovery-oriented ...

    • Code-Mixing in Social Media Text: The Last Language Identification Frontier? 

      Das, Amitava; Gambäck, Björn (Journal article; Peer reviewed, 2015)
      ABSTRACT: Automatic understanding of noisy social media text is one of the prime present-day research areas. Most research has so far concentrated on English texts ; however, more than half of the users are writing in ...

    • Combining Evolutionary Algorithms and Language Games to Simulate Language Emergence 

      Odlo, Per (Master thesis, 2017)
      This thesis is focused on naming games and other language games and how they can be used to simulate the emergence of human languages. One specific naming game model proposed in the literature is reviewed and examined in ...

    • Computational Linguistic Creativity: Poetry generation given visual input 

      Loller-Andersen, Malte (Master thesis, 2017)
      In this Thesis, a system capable of generating poetry from images was designed and implemented. The implementation was then used to generate 153 stanzas. The system includes a CNN for object classification, a module to ...

    • Computer generated art based on musical input 

      Zoric, Viktor (Master thesis, 2017)
      This thesis explores computer-generated art based on musical input. The computer-generated art gives an end-user support in various life domains, which impose various aesthetic, artificial intelligence and software engineering ...

    • Convolutional Neural Networks for Part-of-Speech Tagging 

      Stavland, Stine S. (Master thesis, 2020)
      Konvolusjonelle nevrale nettverk har vanligvis ikke vært brukt til sekvensprosesseringsoppgaver, men nylige forskningsarbeid har gitt inspirasjon til å teste ut bruk av konvolusjonelle nevrale nettverk for ordklassemerking. ...

    • Creative Behaviour in Evolving Agents 

      Alvestad, Bjørnar Walle; Larsen, Endre (Master thesis, 2017)
      Computational creativity is a field of research that is primarily focused on music composition, art and linguistics. However, research pertaining to computational creative behaviour is sparse. There is no clear, established ...

    • Creatively Evolving Cooperative Behaviour with the 'NeuroEvolution of Augmenting Topologies' Algorithm 

      Weisethaunet, Andreas Høgetveit; Hov, Einar (Master thesis, 2018)
      This thesis combines creativity and cooperative behaviour, and aims to investigate if a machine learning algorithm called NeuroEvolution of Augmenting Topologies (NEAT) can evolve cooperative behaviour in a creative process. ...

    • Cross-lingual information retrieval using compound word splitting 

      Nordal, Martin (Master thesis, 2016)
      Finding web pages written in a foreign language may be a difficult process when using online search providers. This is because the information needed normally has to be formulated in the same language. The field of ...