Ontological representation of texts, and its applicationsin text analysis
Master thesis
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http://hdl.handle.net/11250/137278Utgivelsesdato
2003Metadata
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Sammendrag
For the management of a company, the need to know what people think of their products
or services is becoming increasingly important in an increasingly competitive
market. As the Internet can nearly be described as a digital mirror of events in the
”real“ world, being able to make sense of the semi structured nature of natural language
texts published in this ubiquitous medium has received growing interest.
The approach proposed in the thesis combines natural language processing and ontologies
to represent elements in texts and relations between them. These relations are
used to determine what terms describe what objects and what spot the descriptions put
the objects in. Are the objects spoken of in a positive or negative manner?
Throughout the report, it will be emphasized that ontologies can be applied to increase
the ability of an automated agent to reason about texts. The more meta data that exist
about a word or expression in a given context, the more deductions the agent will
be able to make. One of the ontologies we developed allows the identification of
statements that are considered either positive or negative relative to a given term.
Beskrivelse
Masteroppgave i informasjons- og kommunikasjonsteknologi 2003 - Høgskolen i Agder, Grimstad
Utgiver
Høgskolen i AgderAgder University College