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R: Data Analysis and Visualization by Ágnes Vidovics-Dancs, Kata Váradi, Tamás Vadász, Ágnes Tuza, Balázs Árpád Szucs, Julia Molnár, Péter Medvegyev, Balázs Márkus, István Margitai, Péter Juhász, Dániel Havran, Gergely Gabler, Barbara Dömötör, Gergely Daróczi, Ádám Banai, Milán Badics, Ferenc Illés, Edina Berlinger, Bater Makhabel, Hrishi V. Mittal, Jaynal Abedin, Brett Lantz, Tony Fischetti

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Text summarization

The target of text summarization is to generate a concise and coherent conclusion or summary of the major information of the input. Three major steps are performed in most of the summarization systems. They are as follows:

  1. Build a temporary structure that contains the main portion of the key point of the input text.
  2. Next, the sentences from the input are scored with the output of the first step.
  3. Lastly, a final summary that represents the input documents is set up by several sentences.

One popular strategy is to remove the unimportant information, clauses, or sentences and, at the same time, build classifiers to make sure that the key information is not thrown away, which is, in another viewpoint, the relative importance of topics ...

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