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- W2806421575 abstract "Large corpus of scientific research papers have been available for a long time. However, most of those corpus store only the title and the abstract of the paper. For some domains this information may not be enough to achieve high performance in text mining tasks. This problem has been recently reduced by the growing availability of full text scientific research papers. A full text version provides more detailed information but, on the other hand, a large amount of data needs to be processed. A priori, it is difficult to know if the extra work of the full text analysis has a significant impact in the performance of text mining tasks, or if the effect depends on the scientific domain or the specific corpus under analysis." @default.
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- W2806421575 date "2018-01-01" @default.
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- W2806421575 title "LearnSec: A Framework for Full Text Analysis" @default.
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- W2806421575 doi "https://doi.org/10.1007/978-3-319-92639-1_42" @default.
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