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1
Using text analysis to quantify the similarity and evolution of scientific disciplines
Dias, Laércio; Gerlach, Martin; Scharloth, Joachim. - : The Royal Society Publishing, 2018
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2
A network approach to topic models ...
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3
Using text analysis to quantify the similarity and evolution of scientific disciplines ...
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4
A network approach to topic models
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5
Impact of lexical and sentiment factors on the popularity of scientific papers ...
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6
Data from: Impact of lexical and sentiment factors on the popularity of scientific papers ...
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7
Statistical laws in linguistics ...
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8
Extracting information from S-curves of language change ...
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9
Extracting information from S-curves of language change
Ghanbarnejad, Fakhteh; Gerlach, Martin; Miotto, José M.. - : The Royal Society, 2014
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10
Probing the Statistical Properties of Unknown Texts: Application to the Voynich Manuscript
Amancio, Diego R.; Altmann, Eduardo G.; Rybski, Diego. - : Public Library of Science, 2013
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11
On the origin of long-range correlations in texts ...
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12
On the origin of long-range correlations in texts
Altmann, Eduardo G.; Cristadoro, Giampaolo; Esposti, Mirko Degli. - : National Academy of Sciences, 2012
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13
Niche as a Determinant of Word Fate in Online Groups
Altmann, Eduardo G.; Pierrehumbert, Janet B.; Motter, Adilson E.. - : Public Library of Science, 2011
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