Bibliographie
Bibliographie¶
- BXCH
missing journal in baiBusinessTaxonomyConstruction
- CPGT17
Erik Cambria, Soujanya Poria, Alexander Gelbukh, and Mike Thelwall. Sentiment Analysis Is a Big Suitcase. IEEE Intelligent Systems, 32(6):74–80, November 2017. doi:10.1109/MIS.2017.4531228.
- CCWH18
Iti Chaturvedi, Erik Cambria, Roy E. Welsch, and Francisco Herrera. Distinguishing between facts and opinions for sentiment analysis: Survey and challenges. Information Fusion, 44:65–77, November 2018. doi:10.1016/j.inffus.2017.12.006.
- HMPR04
Alan R Hevner, Salvatore T March, Jinsoo Park, and Sudha Ram. Design Science in Information Systems Research. MIS Quarterly, 28(1):75–105, March 2004.
- Kor21
Martin Kornmeier. Wissenschaftlich schreiben leicht gemacht für Bachelor, Master und Dissertation. UTB, Bern, 9., aktualisierte und ergänzte auflage edition, 2021. ISBN 978-3-8385-5438-9.
- LPY+17
Yang Li, Quan Pan, Tao Yang, Suhang Wang, Jiliang Tang, and Erik Cambria. Learning Word Representations for Sentiment Analysis. Cognitive Computation, 9(6):843–851, December 2017. doi:10.1007/s12559-017-9492-2.
- MPP+19
Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander Gelbukh, and Erik Cambria. Sentiment and Sarcasm Classification With Multitask Learning. IEEE Intelligent Systems, 34(3):38–43, May 2019. doi:10.1109/MIS.2019.2904691.
- SA20
Melanie Siegel and Melpomeni Alexa. Sentiment-Analyse deutschsprachiger Meinungsäußerungen: Grundlagen, Methoden und praktische Umsetzung. Lehrbuch. Springer Vieweg, Wiesbaden [Heidelberg], 2020. ISBN 978-3-658-29699-5 978-3-658-29698-8.
- SvomBrocke12
Christian Sonnenberg and Jan vom Brocke. Evaluations in the Science of the Artificial – Reconsidering the Build-Evaluate Pattern in Design Science Research. In Ken Peffers, Marcus Rothenberger, and Bill Kuechler, editors, Design Science Research in Information Systems. Advances in Theory and Practice, volume 7286, pages 381–397. Springer Berlin Heidelberg, Berlin, Heidelberg, 2012. doi:10.1007/978-3-642-29863-9_28.
- WHC20
Zhaoxia Wang, Seng-Beng Ho, and Erik Cambria. A review of emotion sensing: categorization models and algorithms. Multimedia Tools and Applications, 79(47-48):35553–35582, December 2020. doi:10.1007/s11042-019-08328-z.
- XMZC20
Frank Xing, Lorenzo Malandri, Yue Zhang, and Erik Cambria. Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets. In Proceedings of the 28th International Conference on Computational Linguistics, 978–987. Barcelona, Spain (Online), 2020. International Committee on Computational Linguistics. doi:10.18653/v1/2020.coling-main.85.
- XCW18
Frank Z. Xing, Erik Cambria, and Roy E. Welsch. Natural language based financial forecasting: a survey. Artificial Intelligence Review, 50(1):49–73, June 2018. doi:10.1007/s10462-017-9588-9.
- XPC19
Frank Z. Xing, Filippo Pallucchini, and Erik Cambria. Cognitive-inspired domain adaptation of sentiment lexicons. Information Processing & Management, 56(3):554–564, May 2019. doi:10.1016/j.ipm.2018.11.002.
- UniversitatOsnabrucktextendashD720
Universität Osnabrück – Dezernat 7. Wie_schreibe_ich_ein_wissenschaftliches_Expose_09022020_01.pdf. February 2020.
- vomBrockeHM20
Jan vom Brocke, Alan Hevner, and Alexander Maedche. Introduction to Design Science Research. In Jan vom Brocke, Alan Hevner, and Alexander Maedche, editors, Design Science Research. Cases, pages 1–13. Springer International Publishing, Cham, 2020. doi:10.1007/978-3-030-46781-4_1.