An Overall Survey of Extractive Based Automatic Text Summarization Methods

Pallavi D.Patil, Mane P.M

Abstract: The increasing availability of on line information has required exhaustive research in the area of automatic text summarization within the Natural Language Processing (NLP) area. Over the past half a century, the problem has been addressed from many different perspective in varying domains and using various paradigms. This survey intends to investigate some of the most relevant approaches both in the areas of single-document and multiple document summarizations, giving special prominence to experimental methods and extractive techniques. Some hopeful approaches that focus on exact details of the summarization problem are also discussed. Special attention is devoted to automatic evaluation of summarization systems, as future research on summarization is strongly dependent on progress in this area.

Keywords: Text Summarization, Extractive based Summary, ive based summary, Topic Identification, Interpretation, Summary Generation