Resolving Ambiguous Preposition Phrase Using Genetic Algorithm

Text mining refers to the process of discovering interesting and non trivial patterns or knowledge embedded in unstructured text documents from a fixed domain. It is also known as knowledge discovery from text databases. Text mining tasks include text categorization, text clustering, concept/entity extraction, document summarization and entity relation modelling. Extracting concept/fact from the texts is the first step in text mining. But while extracting concept/fact from texts in natural language, the main problem is that some words or phrases or sentences are always ambiguous. The ambiguities are of different types. It may be lexical, semantic or syntactic. There are several existing techniques for resolving this problem which has been implemented through a set of test cases. Also better results are obtained by applying these techniques. These techniques are discussed in this paper.