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題名 Hidden trends in 90 years of Harvard Business Review
作者 Tsai, C.-C.;Liu, C.-L.;Huang, W.-J.;Shan, Man-Kwan
沈錳坤
貢獻者 資科系
關鍵詞 Collocation; Economic trends; Sentiment analysis; Temporal analysis; Text mining; Abstracting; Artificial intelligence; Data mining
日期 2012
上傳時間 10-四月-2015 17:26:13 (UTC+8)
摘要 In this paper, we demonstrate and discuss results of our mining the abstracts of the publications in Harvard Business Review between 1922 and 2012. Techniques for computing n-grams, collocations, basic sentiment analysis, and named-entity recognition were employed to uncover trends hidden in the abstracts. We present findings about international relationships, sentiment in HBR`s abstracts, important international companies, influential technological inventions, renown researchers in management theories, US presidents via chronological analyses. © 2012 IEEE.
關聯 Proceedings - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
10.1109/TAAI.2012.56
資料類型 conference
DOI http://dx.doi.org/10.1109/TAAI.2012.56
dc.contributor 資科系
dc.creator (作者) Tsai, C.-C.;Liu, C.-L.;Huang, W.-J.;Shan, Man-Kwan
dc.creator (作者) 沈錳坤zh_TW
dc.date (日期) 2012
dc.date.accessioned 10-四月-2015 17:26:13 (UTC+8)-
dc.date.available 10-四月-2015 17:26:13 (UTC+8)-
dc.date.issued (上傳時間) 10-四月-2015 17:26:13 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/74487-
dc.description.abstract (摘要) In this paper, we demonstrate and discuss results of our mining the abstracts of the publications in Harvard Business Review between 1922 and 2012. Techniques for computing n-grams, collocations, basic sentiment analysis, and named-entity recognition were employed to uncover trends hidden in the abstracts. We present findings about international relationships, sentiment in HBR`s abstracts, important international companies, influential technological inventions, renown researchers in management theories, US presidents via chronological analyses. © 2012 IEEE.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Proceedings - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
dc.relation (關聯) 10.1109/TAAI.2012.56
dc.subject (關鍵詞) Collocation; Economic trends; Sentiment analysis; Temporal analysis; Text mining; Abstracting; Artificial intelligence; Data mining
dc.title (題名) Hidden trends in 90 years of Harvard Business Review
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/TAAI.2012.56en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1109/TAAI.2012.56en_US