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The MIREX competition (Music Information Retrieval Evaluation eXchange) is an annual competition targeting challenging machine learning tasks related to music. You may choose one of the MIREX challenges as your Master's thesis project.
Word--context vector space models can be used for measuring the semantic similarity between words based on their contextual distributions across large text collections. In this project we propose to use such models for automatically extending a semantic lexicon, such as a wordnet. The scope could also be restricted to a certain set of classes, say focusing only on emotion words as encoded in for example WordNet-Affect.