Automatic Text Summarization Using Intelligent Systems

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Abstract

Text summarizer is an artificial intelligence (AI) application that helps in summing up the content. We can transfer our information and this application gives us the synopsis of that information in almost many quantities of lines as we want. The item is fundamentally a content summing up utilizing deep learning ideas. The superfluous sentences will be disposed of to get the main sentences. Text summarization is the way toward making a consolidated type of text archive which keeps up with critical data and the general significance of input text. Programmed text synopsis turns into a significant method of discovering important data exactly in a large content in a brief time frame with little endeavors. There are principally two kinds of summarization methods namely, extractive and abstractive. In this paper, we mainly focus on the extractive method which removes the main sentences by computing the significance of each sentence to fabricate the outline.

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Sireesha, V., Hegde, N. P., & Yashwanth, M. (2022). Automatic Text Summarization Using Intelligent Systems. In Smart Innovation, Systems and Technologies (Vol. 283, pp. 253–262). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-9705-0_25

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