TAG LINES EXTRACTION AND RANKING IN TEXT ANNOTATION
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The article deals with comparative analysis of two approaches for tag lines ranking in text annotation task. The first approach is based on a weight evaluation of extracted phrases using TextRank algorithm, the second one is based on tf-idf estimation. Experiments were carried out on the base of INSPEC dataset collection. Experiment descriptions and comparative results are given. It was shown experimentally that tf-idf approach gives better results than the one based on TextRank.
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