Text summarization's objective is to condense the original text into a concise document utilizing multiple semantics. It may also assist the reader in determining whether the original material is worth reading in its entirety. Having an abundance of information available on the internet for any given topic, creating a summary of the important details would be beneficial to many people. Text summarization approaches that implemented in a variety of ways. Text summarizing techniques can be categorized in different ways, such as the type of input (e.g. single or multi-document), output (e.g. extractive or abstractive), and purpose (e.g. generic, domainspecific, or query-based). This paper reviews extractive approaches for text summarization, focusing on the output results and sentence scoring techniques. It also provides an overview of the techniques and methods used by researchers for comparison and development. Finally, it reviews summary evaluation methods and provides suggestions for potential opportunities and challenges in text summarization research