Extractive Text Summarization Using Recent Approaches: A Survey

In this era of growing digital media, the volume text data increases day by from various sources and may contain entire documents, books, articles, etc. This amount is a source information that be insignificant, redundant, sometimes not carry any meaningful representation. Therefore, we require some techniques tools can automatically summarize enormous amounts help us to decide whether they are useful or not. Text summarization process generates brief version document in form summary. It classified into abstractive extractive summarization. Abstractive an abstract type summary given document. summarization, created contains crucial sentences Many authors proposed for both types paper presents survey on graphical-based techniques. Specifically, it focuses unsupervised supervised shows recent works advances them strength weaknesses surveys previous tabular form. At last, concentrates evaluation measure