| Summary: | The World Wide Web has brought us to an era where information is abundantly available and
easily accessible from all over the world. With important decision-makings becoming more
dependent on these huge resources, there is a growing need for techniques which is able to
produce more comprehensible representations of text documents for users by using Natural
Language Processing (NLP) techniques
NLP concerns the issues of portraying information in natural (human) language. It can provide
human language-like representations of documents to be further processed for data mining
purposes.
This project aims to study various NLP-based representation methods for web text documents,
with the focus on semantic analysis based models, namely the sentence-level semantic analysis
model and the concept-based analysis model. Moreover, an important part of the project is spent
on the design and development of an integrated Semantic Analysis Tool (SAT) based on the
aforementioned models.
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