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Towards improving WEBSOM with multi-word expressions

dc.contributor.advisorMarques, Nuno Cavalheiro
dc.contributor.advisorSilva, Joaquim
dc.contributor.authorAlves, Stefan Eduard Raposo
dc.date.accessioned2013-07-23T15:21:47Z
dc.date.available2013-07-23T15:21:47Z
dc.date.issued2013
dc.descriptionDissertação para obtenção do Grau de Mestre em Engenharia Informáticapor
dc.description.abstractLarge quantities of free-text documents are usually rich in information and covers several topics. However, since their dimension is very large, searching and filtering data is an exhaustive task. A large text collection covers a set of topics where each topic is affiliated to a group of documents. This thesis presents a method for building a document map about the core contents covered in the collection. WEBSOM is an approach that combines document encoding methods and Self-Organising Maps (SOM) to generate a document map. However, this methodology has a weakness in the document encoding method because it uses single words to characterise documents. Single words tend to be ambiguous and semantically vague, so some documents can be incorrectly related. This thesis proposes a new document encoding method to improve the WEBSOM approach by using multi word expressions (MWEs) to describe documents. Previous research and ongoing experiments encourage us to use MWEs to characterise documents because these are semantically more accurate than single words and more descriptive.por
dc.identifier.urihttp://hdl.handle.net/10362/10169
dc.language.isoengpor
dc.publisherFaculdade de Ciências e Tecnologiapor
dc.subjectSelf-Organising Maps (SOM)por
dc.subjectText miningpor
dc.subjectWEBSOMpor
dc.subjectRelevant expressionspor
dc.titleTowards improving WEBSOM with multi-word expressionspor
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspor
rcaap.typemasterThesispor

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