Textual Analysis by using Knowledge-based Word Sense Disambiguation Approach

Abstract

Textual analysis had been widely used in the software engineering area. Even though some approaches had been suggested over the time, these approaches encounter number of challenges, especially dealing with information extracted from the text requirement. Most studies had chosen to analyse the text manually in order to overcome this challenge. However, the long and complex text would consume more time. This paper will discuss a framework based on the knowledgebased word sense disambiguation approach, an attempt to improve the knowledge representation. In this approach, WordNet 2.1 would be used as the knowledge source used to identify concepts represented by each word in a text.