Browsing NTNU Open by Author "Gambäck, Björn"
Now showing items 21-40 of 96
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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 ... -
Classifying Hateful and Offensive Language Across Datasets and Domains - A Comparison of Various Transformer-Based Models
Bulukin, Peter Cook (Master thesis, 2021)Denne oppgaven utforsker kompatibiliteten mellom populære datamengder som inneholder støtende språk ved bruk av språkmodeller forhåndstrente på store skriftsamlinger. Å trene iterativt på forskjellige datamengder viser seg ... -
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 ... -
Composing Tricky Questions: Finding False Answers Using Generative Trans- formers
Johannessen, Jonathan Sileshe (Master thesis, 2023)Denne masteroppgaven bidrar til feltet distraktorgenerering, spesielt i sammenheng med automatisering av opprettelsen av flervalgsoppgaven. Hovedfokuset var å utvikle et system som er i stand til å generere troverdige feil ... -
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 ... -
Deep Detection of Hate Speech in Text Through a Two-Pronged Approach
Meyer, Johannes Skjeggestad (Master thesis, 2018)With the widespread use of online services like Facebook and Twitter, disseminating hateful messages has become a simple matter. These messages not only spoil the experience for other users of a service. There is also an ... -
Deep Learning-Based Language Identification in English-Hindi-Bengali Code-Mixed Social Media Corpora
Jamatia, Anupam; Das, Amitava; Gambäck, Björn (Peer reviewed; Journal article, 2018)This article addresses language identification at the word level in Indian social media corpora taken from Facebook, Twitter and WhatsApp posts that exhibit code-mixing between English-Hindi, English-Bengali, as well as a ... -
Detecting Norwegian Abusive Language in Social Media with Transformer-based Models
Arntzen, Vilde Roland (Master thesis, 2021)Fremveksten av sosiale medier og digitale plattformer har bidratt til at flere bruker ytringsfriheten sin enn tidligere. Dette har medført en økning i polariserte debatter på nett, som har en ekskluderende effekt på mange. ... -
Distant Supervision and Sentiment Embeddings for Ternary Twitter Sentiment Analysis
Lichtenberg, Frederik Gørvell de; Byrkjeland, Mats (Master thesis, 2017)Tang et al. (2014) acknowledged the context-based word embeddings inability to dis-criminate between words with opposite sentiments that appear in similar contexts. Anexample is the words good and bad two opposites ... -
Distributional Semantic Models for Clinical Text Applied to Health Record Summarization
Moen, Hans (Doctoral thesis at NTNU;2016:134, Doctoral thesis, 2016)As information systems in the health sector are becoming increasingly computerized, large amounts of care-related information are being stored electronically. In hospitals clinicians continuously document treatment and ... -
Emotion Recognition from Speech and Instrumental Music: Proof of Shared Emotional Code Through Transfer Learning
Rødningen, Jonas Klepper (Master thesis, 2022)Følelser er en stor del av menneskelig tilværelse---både i oss selv, men også gjenkjennelig f.eks. i andre mennesker via stemme og i musikk. Å forstå hvordan følelser overføres via lyd er derfor veldig relevant. Tidligere ... -
Exploring the Viability of Multilingual Zero-shot Neural Document Retrieval
Braaten, Rolv-Arild; Indal, August Bobakk (Master thesis, 2021)Med den raske framgangen som har vært i dyp læring har man sett store steg innen flere informatikkfelt. Til tross for dette har man ikke før nylig sett vellykket bruk av dyp læring innen informasjonsgjennfinning (IR). De ... -
Exploring the Viability of Multilingual Zero-shot Neural Document Retrieval
Indal, August Bobakk; Braaten, Rolv-Arild (Master thesis, 2021)Med den raske framgangen som har vært i dyp læring har man sett store steg innen flere informatikkfelt. Til tross for dette har man ikke før nylig sett vellykket bruk av dyp læring innen informasjonsgjennfinning (IR). De ... -
Few-shot Font Style Transfer with Extraction of Partial Style
Nilsen, Eivind Yu (Master thesis, 2022)Tekst er en sentral verktøy for å formidle ideer og følelser, og er en svært vanlig forekomst i våre liv. Som representasjon av tekst spiller skrifttype en viktig rolle i formidlingen. Skrifttyper viser om en tekst er ...