Tracking temporal evolution in word meaning with distributed word representations

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/228927
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Type: Examensarbete för masterexamen
Master Thesis
Title: Tracking temporal evolution in word meaning with distributed word representations
Authors: Alburg, Henrik
Abstract: Some words change meaning over time and are thus used differently in text. The purpose of this thesis is to create a model able to find these changes in word meaning, by studying lots of data from different time periods. Building on recent advancements in machine learning and semantic modelling the model is successfully able to find and make sense of changes in word meaning over time. The model can automatically find the most changed words during a time span and these words tend to agree with our perception of the words that have changed the most. When measuring changes the model achieves a 0.6 correlation when compared to human raters.
Keywords: Informations- och kommunikationsteknik;Data- och informationsvetenskap;Information & Communication Technology;Computer and Information Science
Issue Date: 2015
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/228927
Collection:Examensarbeten för masterexamen // Master Theses



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