Survey on abstractive text summarization using various approaches

Abstract

Text summarization is the core aspects of Natural Language processing. Summarized text should consist of unique sentences. It is used in many situations in today’s Information technological word, one of the best examples is in understanding customer feedbacks in companies. This job can be done by humans, but if the text or data that has to be summarized then it will consume lot of time and work force. This situation lead to birth of different approaches in summarization. This paper addresses and concentrates on various methods and approaches and their results in abstractive text summarization. This survey gives an insight about different types of text summarization and various methods used in abstractive text summarization in recent developments.