Provided by: International Journal of Communications and Engineering
Topic: Big Data
Date Added: Mar 2012
Text summarization plays an important role in the area of natural language processing and text mining. Text summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and machine learning techniques to extract sentences from documents. This paper presents a survey of recent natural language processing techniques and text summarization techniques. The authors explore evaluation strategies and metrics, features, approaches and problems in text summarization.