Classifying the ideational impact of Information Systems review articles: A content-enriched deep learning approach
Prester, Julian
, Wagner, Gerit , Schryen, Guido and Hassan, Nik Rushdi
(2021)
Classifying the ideational impact of Information Systems review articles: A content-enriched deep learning approach.
Decision Support Systems 140, p. 113432.
Date of publication of this fulltext: 29 Feb 2024 12:26
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| Item type | Article | ||||
| Journal or Publication Title | Decision Support Systems | ||||
| Publisher: | Elsevier | ||||
|---|---|---|---|---|---|
| Place of Publication: | AMSTERDAM | ||||
| Volume: | 140 | ||||
| Page Range: | p. 113432 | ||||
| Date | 2021 | ||||
| Institutions | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik | ||||
| Identification Number |
| ||||
| Keywords | DECISION-SUPPORT-SYSTEMS; CITATION ANALYSIS; INTELLECTUAL STRUCTURE; SOCIAL NETWORK; ANALYSIS CCA; SCIENCE; ANALYTICS; KNOWLEDGE; FRAMEWORK; JOURNALS; Ideational impact; Citation classification; Academic recommender systems; Natural language processing; Deep learning; Cumulative tradition | ||||
| Dewey Decimal Classification | 000 Computer science, information & general works > 004 Computer science 300 Social sciences > 330 Economics | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 56090 |
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