Title | Document Classification Using Machine Learning and Ontologies |
Publication Type | Thesis |
Year of Publication | 2011 |
Authors | Nyberg K |
University | Aalto University |
City | Espoo |
Thesis Type | masters |
Keywords | bag of words, document classification, logistic discriminant, machine learning, ontologies, syntactical analysis, YSO |
Abstract | This master’s thesis explores a way in which documents can be automatically classified based on their contents. Automatic classification of data is one of the main applications of machine learning. With the help of already classified data a model for the most likely class can be learned. Whether adding background knowledge from ontologies can be added to the model in order to improve the classification accuracy, is also explored in this master’s thesis. A new machine learning model is introduced that incorporates ontology information. |
URL | https://www.seco.tkk.fi/publications/2011/nyberg-masters-thesis.pdf |
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