AN APPROACH TO REMOVE LEXICAL AMBIGUITY IN TEXT MINING

Abstract

Text mining, also known as text data mining or knowledge discovery from textual databases refers to the process of extracting interesting and non-trivial patterns or knowledge from unstructured text documents from a fixed domain. Text Mining tasks include text categorization, text clustering, concept/entity extraction, document summarization, and entity relation modeling. In this work, the focus is given to concept/entity extraction only. The major challenging issue in extracting concept/entity from texts is natural language words are always ambiguous. Up to now, not much research in text mining especially in concept/entity extraction has focused on the ambiguity problem. Ambiguity problem occur when a sentence could be interpreted in more than one meaning here we addresses ambiguity issues in natural language texts, and presents a new technique for resolving ambiguity problem in extracting concept/entity from texts. The approach is developed by utilizing natural language processin...