| 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-Apr-2015 17:26:13 (UTC+8) | - |
| dc.date.available | 10-Apr-2015 17:26:13 (UTC+8) | - |
| dc.date.issued (上傳時間) | 10-Apr-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) | conference | en |
| dc.identifier.doi (DOI) | 10.1109/TAAI.2012.56 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1109/TAAI.2012.56 | en_US |
