The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Wu, Y. (1999) · Technometrics · doi:10.1080/00401706.1999.10485951 · Cited by 27,221
Foundations of statistical natural language processing
Manning, C. D., & Schütze, H. (1999) · Cited by 9,816
Introduction to Modern Information Retrieval
Salton, G., & McGill, M. J. (1983) · Virtual Defense Library (Ministerio de Defensa) · Cited by 9,680
An algorithm for suffix stripping
Porter, M. F. (1980) · Program · doi:10.1108/eb046814 · Cited by 8,096
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
Introduction to modern information retrieval
Dillon, M. (1983) · Information Processing & Management · doi:10.1016/0306-4573(83)90062-6 · Cited by 5,909
Text classification from labeled and unlabeled documents using EM
Nigam, K., Mccallum, A. K., Thrun, S., & Mitchell, T. (2000) · Machine Learning · doi:10.1023/a:1007692713085 · Cited by 2,736
Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology
Chao, Y. R., & Zipf, G. K. (1950) · Language · doi:10.2307/409735 · Cited by 2,193
Inductive learning algorithms and representations for text categorization
Dumais, S., Platt, J., Heckerman, D., & Sahami, M. (1998) · Proceedings of the seventh international conference on Information and knowledge management · doi:10.1145/288627.288651 · Cited by 1,461
Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology.
Hollingshead, A. B., & Zipf, G. K. (1949) · American Sociological Review · doi:10.2307/2086695 · Cited by 1,355
Cited by
Toward integrating feature selection algorithms for classification and clustering
Liu, H., & Yu, L. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.66 · Cited by 2,706
A comprehensive survey on support vector machine classification: Applications, challenges and trends
Cervantes, J., Garcia-Lamont, F., Rodríguez-Mazahua, L., & Lopez, A. (2020) · Neurocomputing · doi:10.1016/j.neucom.2019.10.118 · Cited by 2,381
Hotho, A., Nürnberger, A., & Paaß, G. (2005) · Journal for Language Technology and Computational Linguistics · doi:10.21248/jlcl.20.2005.68 · Cited by 893
Fast Kernels for String and Tree Matching
Vishwanathan, S. V. N., & Smola, A. J. (2004) · Kernel Methods in Computational Biology · doi:10.7551/mitpress/4057.003.0008 · Cited by 294
Text Categorization Models for High-Quality Article Retrieval in Internal Medicine
Aphinyanaphongs, Y. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1641 · Cited by 177
Metadata
- Authors
- Leopold, E., & Kindermann, J.
- Venue
- Machine Learning
- Published
- 2002-01
- Volume
- 46
- Issue
- 1-3
- Pages
- 423-444
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W1493036841
- Cited by
- 403
- References
- 19
- FWCI
- 14.39
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Text Categorization with Support Vector Machines. How to Represent Texts in Input Space? https://app.cochat.ai/papers/10.1023/a:1012491419635
- The paper
- Leopold, E., & Kindermann, J. (2002). Text Categorization with Support Vector Machines. How to Represent Texts in Input Space? Machine Learning. https://doi.org/10.1023/a%3A1012491419635
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.