The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.
Text mining for market prediction: A systematic review
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Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
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A Tutorial on Support Vector Machines for Pattern Recognition
Burges, C. J. C. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009715923555 · Cited by 16,429
EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*
Malkiel, B. G., & Fama, E. F. (1970) · The Journal of Finance · doi:10.1111/j.1540-6261.1970.tb00518.x · Cited by 15,699
Advances in neural information processing systems 7
(1996) · Computers & Mathematics with Applications · doi:10.1016/s0898-1221(96)90463-0 · Cited by 14,281
WordNet: a lexical database for English
Miller, G. A. (1995) · Communications of the ACM · doi:10.1145/219717.219748 · Cited by 14,015 · cited 11×
“Mittermayer (2004) does this by filtering for the top 1000 terms out of all terms. The most common approach however is setting a minimum occurrence limit and reducing the terms by selecting the ones reaching a number of occurrences (Butler & Kešelj, 2009; Schumaker & Chen, 2009). Next common approach is using a predef…”
BackgroundMethodInfluentialEfficient capital markets: A review of theory and empirical work
Fama, E. F. (1970) · The Journal of Finance · doi:10.2307/2325486 · Cited by 13,635
Witten, I. H. (2008) · Cited by 9,143
Text categorization with Support Vector Machines: Learning with many relevant features
Joachims, T. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0026683 · Cited by 7,999
Cited by
Temporal Relational Ranking for Stock Prediction
Feng, F., He, X., Wang, X., Luo, C., Liu, Y., & Chua, T.-S. (2019) · ACM Transactions on Information Systems · doi:10.1145/3309547 · Cited by 553
“MSE has been widely used for evaluating regression tasks such as stock price prediction [25, 32, 49].”
MethodA systematic review of fundamental and technical analysis of stock market predictions
Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2020) · Artificial Intelligence Review · doi:10.1007/s10462-019-09754-z · Cited by 547
Decision support from financial disclosures with deep neural networks and transfer learning
Kraus, M., & Feuerriegel, S. (2017) · Decision Support Systems · doi:10.1016/j.dss.2017.10.001 · Cited by 312
Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks
López Iturriaga, F. J., & Sanz, I. P. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.11.025 · Cited by 199
Using machine learning to disentangle homonyms in large text corpora
Roll, U., Correia, R. A., & Berger‐Tal, O. (2018) · Conservation Biology · doi:10.1111/cobi.13044 · Cited by 46
Metadata
- Authors
- Khadjeh Nassirtoussi, A., Aghabozorgi, S., Ying Wah, T., & Ngo, D. C. L.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2014-11
- Volume
- 41
- Issue
- 16
- Pages
- 7653-7670
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2128792405
- Cited by
- 615
- References
- 107
- FWCI
- 13.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Text mining for market prediction: A systematic review. https://app.cochat.ai/papers/10.1016/j.eswa.2014.06.009
- The paper
- Khadjeh Nassirtoussi, A., Aghabozorgi, S., Ying Wah, T., & Ngo, D. C. L. (2014). Text mining for market prediction: A systematic review. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2014.06.009
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.
