The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Twitter sentiment analysis using hybrid cuckoo search method
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Citations
Cites
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
Particle swarm optimization: An overview
Poli, R., Kennedy, J., & Blackwell, T. (2007) · Swarm Intelligence · doi:10.1007/s11721-007-0002-0 · Cited by 21,101
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
Data clustering: 50 years beyond K-means
Jain, A. K. (2010) · Pattern Recognition Letters · doi:10.1016/j.patrec.2009.09.011 · Cited by 9,368
Cuckoo Search via Lévy flights
Yang, X.-S., & Deb, S. (2009) · 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC) · doi:10.1109/nabic.2009.5393690 · Cited by 6,185
An efficient k-means clustering algorithm: analysis and implementation
Kanungo, T., Mount, D. M., Netanyahu, N. S., Piatko, C. D., Silverman, R., & Wu, A. Y. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017616 · Cited by 5,660
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
Sentiment analysis algorithms and applications: A survey
Medhat, W., Hassan, A., & Korashy, H. (2014) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2014.04.011 · Cited by 3,248
Mcgill, R., Tukey, J. W., & Larsen, W. A. (1978) · The American Statistician · doi:10.1080/00031305.1978.10479236 · Cited by 2,490
Predicting the future with social media
Asur, S., & Huberman, B. A. (2010) · 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology · doi:10.1109/wi-iat.2010.63 · Cited by 2,081
Cited by
Sentiment Analysis Based on Deep Learning: A Comparative Study
Dang, N. C., Moreno-García, M. N., & De la Prieta, F. (2020) · Electronics · doi:10.3390/electronics9030483 · Cited by 593
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
Social media sentiment analysis based on COVID-19
Nemes, L., & Kiss, A. (2021) · Journal of Information and Telecommunication · doi:10.1080/24751839.2020.1790793 · Cited by 268
Metadata
- Authors
- Chandra Pandey, A., Singh Rajpoot, D., & Saraswat, M.
- Venue
- Information Processing & Management
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 53
- Issue
- 4
- Pages
- 764-779
- ISSN
- 0020-0271 (ISSN-L)
- 0306-4573
- OpenAlex
- W2594056497
- Cited by
- 299
- References
- 70
- FWCI
- 21.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Twitter sentiment analysis using hybrid cuckoo search method. https://app.cochat.ai/papers/10.1016/j.ipm.2017.02.004
- The paper
- Chandra Pandey, A., Singh Rajpoot, D., & Saraswat, M. (2017). Twitter sentiment analysis using hybrid cuckoo search method. Information Processing & Management. https://doi.org/10.1016/j.ipm.2017.02.004
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.
