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Research Article

JCR. 2020; 7(11): 781-785


Asim Sohail, Uzair Aslam, Hafiz Ilyas Tariq, Manoj Jayabalan.

There is a lot of information available in the form of the text documents. To gain this knowledge from the text data, its summary is a convenient way to grasp the information quickly. Text summarization applications can be seen where ever text document is involved irrespective of the field. Due to its applications and ease that it brings, text summarization is a popular topic in the field of Natural language processing. The text summarization is categorized as extractive and abstractive summary. Many researchers have proposed methodologies to improve both extractive and abstractive summaries. This study shed light on the different types of summarization, different approaches that are being developed and used for the text summarization. This study also covers the evaluation types that are used for the evaluation of the summary.

Key words: Text Summarization, Tokenization, Stop Words, Extractive Summary, Abstractive Summary.

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