The DOI matches its Crossref record; 113 of the 113 references it cites were found in a registry or an index.
Natural language based financial forecasting: a survey
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Cites
Distributed Representations of Words and Phrases and their Compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1310.4546 · Cited by 24,533
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
Efficient 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
WordNet: An Electronic Lexical Database
Kilgarriff, A., & Fellbaum, C. (2000) · Language · doi:10.2307/417141 · Cited by 11,464
Mining and summarizing customer reviews
Hu, M., & Liu, B. (2004) · Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1014052.1014073 · Cited by 7,793
When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks
LOUGHRAN, T., & MCDONALD, B. (2011) · The Journal of Finance · doi:10.1111/j.1540-6261.2010.01625.x · Cited by 6,015
Another look at measures of forecast accuracy
Hyndman, R. J., & Koehler, A. B. (2006) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2006.03.001 · Cited by 5,757
Blei, D. M. (2012) · Communications of the ACM · doi:10.1145/2133806.2133826 · Cited by 5,516
Twitter mood predicts the stock market
Bollen, J., Mao, H., & Zeng, X. (2011) · Journal of Computational Science · doi:10.1016/j.jocs.2010.12.007 · Cited by 5,206
WordNet: An Electronic Lexical Database
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Cited by
A survey on sentiment analysis methods, applications, and challenges
Wankhade, M., Rao, A. C. S., & Kulkarni, C. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-022-10144-1 · Cited by 1,528
A survey on classification techniques for opinion mining and sentiment analysis
Hemmatian, F., & Sohrabi, M. K. (2019) · Artificial Intelligence Review · doi:10.1007/s10462-017-9599-6 · Cited by 371
Distinguishing between facts and opinions for sentiment analysis: Survey and challenges
Chaturvedi, I., Cambria, E., Welsch, R. E., & Herrera, F. (2018) · Information Fusion · doi:10.1016/j.inffus.2017.12.006 · Cited by 292
Self-citationAkhtar, M. S., Ekbal, A., & Cambria, E. (2020) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2019.2954667 · Cited by 246
Self-citationAnbaee Farimani, S., Vafaei Jahan, M., Milani Fard, A., & Tabbakh, S. R. K. (2022) · Knowledge-Based Systems · doi:10.1016/j.knosys.2022.108742 · Cited by 93
Metadata
- Authors
- Xing, F. Z., Cambria, E., & Welsch, R. E.
- Venue
- Artificial Intelligence Review
- Published
- 2017-10-27
- Volume
- 50
- Issue
- 1
- Pages
- 49-73
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W2766718178
- Cited by
- 398
- References
- 113
- FWCI
- 28.05
- Type
- journal article
- Language
- en
- Open access
- green
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- Xing, F. Z., Cambria, E., & Welsch, R. E. (2018). Natural language based financial forecasting: a survey. Artificial Intelligence Review. https://doi.org/10.1007/s10462-017-9588-9
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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.
