Browsing NTNU Open by Author "Bungum, Lars"
Now showing items 1-6 of 6
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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 ... -
Multi-Domain Adapted Machine Translation Using Unsupervised Text Clustering
Bungum, Lars; Gambäck, Björn (LNCS;, Chapter, 2015)Domain Adaptation in Machine Translation means to take a machine translation system that is restricted to work in a specific context and to enable the system to translate text from a different domain. The paper presents a ... -
Negation Scope Detection for Twitter Sentiment Analysis
Reitan, Johan; Faret, Jørgen; Gambäck, Björn; Bungum, Lars (Chapter, 2015) -
Self-Organizing Maps for Classification of a Multi-Labeled Corpus
Bungum, Lars; Gambäck, Björn (Chapter, 2015) -
Twitter Sentiment Analysis - Exploring the Effects of Linguistic Negation
Faret, Jørgen; Reitan, Johan (Master thesis, 2015)Twitter sentiment analysis, the process of automatically extracting sentiment conveyed by Twitter data, is a field that has seen a dramatic increase in research in recent times. This Master's Thesis presents a study of the ... -
Unsupervised Clustering of Structured and Unstructured Text Collections
Bungum, Lars (Doctoral theses at NTNU;2021:179, Doctoral thesis, 2021)This thesis explores the application of unsupervised clustering for domain adaptation of machine translation systems. As in many artificial intelligence areas, creating a system that generalizes to any domain is a hard ...