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Title: An empirical investigation of research productivity on text mining - In bibliometrics view
Authors: Hou, Oliver C L;Hsu, Heigen;Yang, Jiann-Min
Contributors: 經營管理碩士學程EMBA;資管系
Keywords: 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 Law. Second, we also apply Price's Square Root Law & Pareto Principle to check the result and found that are not compliance with both of these. Third, from the distribution of the number of paper published each year we conclude the topic of ";Text Mining";is still in peak period but may achieve mature stage in the near future. Finally, 56.25% of authors only contribute 1 paper and 82.74% authors' outcomes are less or equal 3. Contrarily, there are 6 authors with over 10 published papers and the most productive one even owns 37 papers on SSCI database.
Date: 2010
Issue Date: 2015-06-29 18:00:31 (UTC+8)
Relation: NISS2010 - 4th International Conference on New Trends in Information Science and Service Science, 2010, 論文編號 5488538, Pages 646-650, 4th International Conference on New Trends in Information Science and Service Science, NISS2010; Gyeongju; South Korea; 11 May 2010 到 13 May 2010; 類別編號CFP1013H-ART; 代碼 81823
Data Type: conference
DOI 連結: Bibliometrics; Computing power; Distribution of frequency; Empirical investigation; Literature productivity; Lotka's la; Lotka's laws; Methodology of bibliometrics; Peak period; Research productivity; Square roots; Text minin; Text mining; Texting; Paper; Pareto principle; Productivity; Information science
Appears in Collections:[資訊管理學系] 會議論文

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