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Tag: Automatic content summaries

Automatic content summaries
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Automatic content summaries

Automatic content summarization refers to the technique of shortening long sections of text. The aim is to create a coherent and fluid summary that contains only the points raised in the document. Therefore, automatic text synthesis is a common problem in machine learning and natural language processing. The purpose is to replace the original text to encourage readers to read the content with clarity of thought. The context What is a summary? We can distinguish two types of Summarizer : -Informative summaries designed to replace the original text; -Indicative abstracts, used as support, such as the title or abstract of an article. Why automate summaries? According to extensive analysis of articles, reading frequency is closely related to text size. Often the abs...