The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Topic Modeling: A Comprehensive Review
Open accessAbstract
Topic modelling is the new revolution in text mining. It is a statistical technique for revealing the underlying semantic structure in large collection of documents. After analysing approximately 300 research articles on topic modeling, a comprehensive survey on topic modelling has been presented in
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Citations
Cites
Learning the parts of objects by non-negative matrix factorization
Lee, D. D., & Seung, H. S. (1999) · Nature · doi:10.1038/44565 · Cited by 13,868
Indexing by latent semantic analysis
Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., & Harshman, R. (1990) · Journal of the American Society for Information Science · doi:10.1002/(sici)1097-4571(199009)41:6<391::aid-asi1>3.0.co;2-9 · Cited by 12,751
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2002) · Advances in Neural Information Processing Systems 14 · doi:10.7551/mitpress/1120.003.0082 · Cited by 12,223
ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION
Lee, D. D., & Seung, H. S. (2000) · Cited by 7,952
A vector space model for automatic indexing
Salton, G., Wong, A., & Yang, C. S. (1975) · Communications of the ACM · doi:10.1145/361219.361220 · Cited by 7,521
Griffiths, T. L., & Steyvers, M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307752101 · Cited by 6,049
Paatero, P., & Tapper, U. (1994) · Environmetrics · doi:10.1002/env.3170050203 · Cited by 6,023
Blei, D. M. (2012) · Communications of the ACM · doi:10.1145/2133806.2133826 · Cited by 5,516
A STATISTICAL INTERPRETATION OF TERM SPECIFICITY AND ITS APPLICATION IN RETRIEVAL
SPARCK JONES, K. (1972) · Journal of Documentation · doi:10.1108/eb026526 · Cited by 4,505
Probabilistic latent semantic indexing
Hofmann, T. (1999) · Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/312624.312649 · Cited by 3,976
Cited by
Romero, J. D., Feijoo-Garcia, M. A., Nanda, G., Newell, B., & Magana, A. J. (2024) · Big Data and Cognitive Computing · doi:10.3390/bdcc8100132 · Cited by 27
Metadata
- Authors
- Kherwa, P., & Bansal, P.
- Venue
- ICST Transactions on Scalable Information Systems
- Published
- 2018-07-13
- Volume
- 0
- Issue
- 0
- Pages
- 159623
- ISSN
- 2032-9407 (ISSN-L)
- OpenAlex
- W2963034284
- Cited by
- 264
- References
- 69
- FWCI
- 4.10
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Kherwa, P., & Bansal, P. (2018). Topic Modeling: A Comprehensive Review. ICST Transactions on Scalable Information Systems. https://doi.org/10.4108/eai.13-7-2018.159623
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.
