The rapid growth of the online information and textual resources has made the text summarization more favourite domain to emphasise the importance and intention of textual information. Manual summarization of large source documents is arduous. Text summarization is automatic text summarization which shortens and condenses the original text document without any loss of original content in an efficient way. In recent years text summarization is one of the most favourite research domains in natural language processing and could attracted more attention of NLP researchers. The intact relationship exists between text mining and text Summarization. In this work, topic of text mining and text summarization considered in the beginning. There after a model has been designed on some of the summarization approaches and essential parameters for exerptting predominant sentences, found the main steps of the summarizing process, and the most significant extraction criteria are presented.

Text summarization, manual summarization, summary, text ranking

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