JOURNAL ARTICLE

Summarization Techniques of Cloud Computing

Abstract

Text summarization is a process in which it abbreviating the source script into a short version maintaining its information content with its original meaning. It is an impossible or difficult task for human beings to summarize very large number of documents by hand. The word text summarization methods divided into two parts extractive or abstractive summarization. The extractive summarization technique extracts by selecting significant sentences, paragraphs etc from its original documents and connect them into a short form. The status of sentence is decided by sentences arithmetical and dialectal features. In other hands an abstractive method of summarization entails of understanding the unique text and re-telling it in a few words. It uses linguistic approaches to inspect and decipher the text and find the new observations and expressions to best define it by engendering a new shorter text that delivers the most meaningful facts from the original text document. A deep study of Text Summarization systems has been presented in this paper.

Keywords:
Automatic summarization Computer science Sentence Multi-document summarization Natural language processing DECIPHER Task (project management) Word (group theory) Artificial intelligence Meaning (existential) Information retrieval Process (computing) Linguistics

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Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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