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    An automatic summaries of textual document by extraction technique based on the detection of opinion
    (Maltepe Üniversitesi, 2017) Boudia, Mohamed Amina; Demircan, Yasemin Şengün; Ünen, Hüseyin Can
    ln this paper, we build our study about this hypothesis: "Textual units that do not share the same opinion of the text are ideas used for the development or comparison and their absences have no vocation to reach the semantics of the abstract" our approach aims to make automatically a summary of a textual document by using the scoring extraction technique adapted to detecting of opinion, the scoring is based on the detection of opinion by the SentiWordNet...