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Authorship attribution, i.e., identifying the authorship of a piece of disputed text, is an important problem due to the increased concerns on copyright violations. While various authorship attribution algorithms have been proposed to identify the authorship of articles, they fail in several situations. This paper proposes a new authorship attribution algorithm for Chinese text using the sentence...
As the improvement of computing power, texting mining becomes more focused than before. In order to realize the literature productivity of such territory, we analyze the literatures on SSCI database with subjects as “Text Mining”. Applied the methodology of bibliometrics, we found several outcomes in this research. First, the distribution of frequency indexes of author's productivity fulfills Lotka's...
Incomplete knowledge about biological objects and a universal set of rules can be used to guide the exploration of PubMed literature to aggregate knowledge for secondary network inferencing. Epiphany is a novel text mining architecture in which users are able to express what is known about an object, what general rules apply for conclusion drawing, and what hypothesis is being expected. Once stated,...
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