The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation
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Citations
Cites
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
topicmodels : An R Package for Fitting Topic Models
Grün, B., & Hornik, K. (2011) · Journal of Statistical Software · doi:10.18637/jss.v040.i13 · Cited by 1,072
Lin, H.-F. (2011) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2010.07.006 · Cited by 912
Tapping the power of text mining
Fan, W., Wallace, L., Rich, S., & Zhang, Z. (2006) · Communications of the ACM · doi:10.1145/1151030.1151032 · Cited by 433
Vatanasombut, B., Igbaria, M., Stylianou, A. C., & Rodgers, W. (2008) · Information & Management · doi:10.1016/j.im.2008.03.005 · Cited by 346
Hwang, H.-G., Ku, C.-Y., Yen, D. C., & Cheng, C.-C. (2004) · Decision Support Systems · doi:10.1016/s0167-9236(02)00191-4 · Cited by 228
Applications of text mining within systematic reviews
Thomas, J., McNaught, J., & Ananiadou, S. (2011) · Research Synthesis Methods · doi:10.1002/jrsm.27 · Cited by 212 · cited 1×
“However, such automated approach has a significant limitation (Thomas et al., 2011): document clustering is completely dependent on the technique used for creating the clusters, which is based on term identification; the problem consists in terms with different meanings based on the remaining text (e.”
MethodInvestigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models
Prinzie, A., & Van den Poel, D. (2006) · European Journal of Operational Research · doi:10.1016/j.ejor.2004.05.004 · Cited by 75
Cited by
Artificial intelligence in business: State of the art and future research agenda
Loureiro, S. M. C., Guerreiro, J., & Tussyadiah, I. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.11.001 · Cited by 554
Recent advances in feature selection and its applications
Li, Y., Li, T., & Liu, H. (2017) · Knowledge and Information Systems · doi:10.1007/s10115-017-1059-8 · Cited by 400
Understanding the use of Virtual Reality in Marketing: A text mining-based review
Loureiro, S. M. C., Guerreiro, J., Eloy, S., Langaro, D., & Panchapakesan, P. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2018.10.055 · Cited by 320
Measuring the perceived benefits of implementing blockchain technology in the banking sector
Garg, P., Gupta, B., Chauhan, A. K., Sivarajah, U., Gupta, S., & Modgil, S. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120407 · Cited by 320
Text Mining in Big Data Analytics
Hassani, H., Beneki, C., Unger, S., Mazinani, M. T., & Yeganegi, M. R. (2020) · Big Data and Cognitive Computing · doi:10.3390/bdcc4010001 · Cited by 317
Metadata
- Authors
- Moro, S., Cortez, P., & Rita, P.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 42
- Issue
- 3
- Pages
- 1314-1324
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2052452825
- Cited by
- 331
- References
- 8
- FWCI
- 34.20
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation. https://app.cochat.ai/papers/10.1016/j.eswa.2014.09.024
- The paper
- Moro, S., Cortez, P., & Rita, P. (2015). Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2014.09.024
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
