TEXT SUMMERIZATION USING WEIGHTED ARCHETYPAL ANALYSIS

Abstract

 A nonfigurative summarization is used to acquire an understanding of the principle concepts and then individual those concepts in clear and easy language. It uses lexical methods to prove and translate the text and then to search the new concepts and classify to elaborate it by creating a new shorter form that direct the most important information from the main text document. In this paper, we aim for text summarization based on Archetypal Analysis Algorithm (AAA) to make simple understandable summary. An extractive summarization it can select important sentences, paragraphs etc. from the main collected document and integrate them into shorter form. The importance of sentences is decided based on statistical and lexical features of sentences.