Unstructured data is outcome of various major business applications. Summarizing unstructured data is considered as a significant task in this era of smart digital evolution. Text summarization is basically done using the common approaches on the basis of certain predefined rules. Text summarization is a branch of text mining which helps in bringing together the main content of the text from the original text or document. This work was an attempt to understand the existing literature and make a critical review on the pros and cons of the methods used. A gap analysis is also included after inspecting various methods. A comparative study of intrinsic and extrinsic evaluation techniques is included. A methodology is proposed for text summarization using machine learning.

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