The DOI matches its Crossref record; 192 of the 192 references it cites were found in a registry or an index.
A survey on sentiment analysis methods, applications, and challenges
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1 retracted
RETRACTED CHAPTER: A Review of k-NN Algorithm Based on Classical and Quantum Machine Learning
Mezquita, Y., Alonso, R. S., Vara, R. C., Prieto, J., & Corchado, J. M. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-53829-3_20 · Cited by 42
RetractedGlove: Global Vectors for Word Representation
Pennington, J., Socher, R., & Manning, C. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1162 · Cited by 34,071
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Enriching Word Vectors with Subword Information
Bojanowski, P., Grave, E., Joulin, A., & Mikolov, T. (2017) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00051 · Cited by 9,645
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Socher, R., Perelygin, A., Wu, J., Chuang, J., Manning, C. D., Ng, A., & Potts, C. (2013) · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d13-1170 · Cited by 6,878
A statistical explanation of MaxEnt for ecologists
Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E., & Yates, C. J. (2011) · Diversity and Distributions · doi:10.1111/j.1472-4642.2010.00725.x · Cited by 6,699
Some distance properties of latent root and vector methods used in multivariate analysis
GOWER, J. C. (1966) · Biometrika · doi:10.1093/biomet/53.3-4.325 · Cited by 4,293
Lexicon-based methods for sentiment analysis
Taboada, M., Brooke, J., Tofiloski, M., Voll, K., & Stede, M. (2011) · Computational Linguistics · doi:10.1162/coli_a_00049 · Cited by 3,301
Sentiment Analysis and Opinion Mining
Liu, B. (2012) · Synthesis Lectures on Human Language Technologies · doi:10.1007/978-3-031-02145-9 · Cited by 3,281
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
Cited by
Bias in Large Language Models: Origin, Evaluation, and Mitigation
Guo, Y., Guo, M., Su, J., Yang, Z., Zhu, M., Li, H., Qiu, M., & Liu, S. S. (2024) · arXiv · doi:10.48550/arxiv.2411.10915 · Cited by 208
Sentiment analysis: A survey on design framework, applications and future scopes
Bordoloi, M., & Biswas, S. K. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10442-2 · Cited by 183
Chatgpt: a meta-analysis after 2.5 months
Leiter, C., Zhang, R., Chen, Y., Belouadi, J., Larionov, D., Fresen, V., & Eger, S. (2024) · Machine Learning with Applications · doi:10.1016/j.mlwa.2024.100541 · Cited by 115
Knowledge Editing for Large Language Models: A Survey
Wang, S., Zhu, Y., Liu, H., Zheng, Z., Chen, C., & Li, J. (2025) · ACM Computing Surveys · doi:10.1145/3698590 · Cited by 79
Classification of human- and AI-generated texts: Investigating features for ChatGPT
Mindner, L., Schlippe, T., & Schaaff, K. (2023) · arXiv · doi:10.48550/arxiv.2308.05341 · Cited by 73
Metadata
- Authors
- Wankhade, M., Rao, A. C. S., & Kulkarni, C.
- Venue
- Artificial Intelligence Review
- Published
- 2022-02-07
- Volume
- 55
- Issue
- 7
- Pages
- 5731-5780
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W4210827551
- Cited by
- 1,528
- References
- 192
- FWCI
- 102.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A survey on sentiment analysis methods, applications, and challenges. https://app.cochat.ai/papers/10.1007/s10462-022-10144-1
- The paper
- Wankhade, M., Rao, A. C. S., & Kulkarni, C. (2022). A survey on sentiment analysis methods, applications, and challenges. Artificial Intelligence Review. https://doi.org/10.1007/s10462-022-10144-1
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.
