The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Untangling text data mining
Open accessAbstract
The possibilities for data mining from large text collections are virtually untapped. Text expresses a vast, rich range of information, but encodes this information in a form that is difficult to decipher automatically. Perhaps for this reason, there has been little work in text data mining to date, and most people who have talked about it have either conflated it with information access or have not made use of text directly to discover heretofore unknown information.
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Citations
Cites
David, F. N., & Tukey, J. W. (1977) · Biometrics · doi:10.2307/2529486 · Cited by 12,708
Baeza-Yates, R. A., & Ribeiro-Neto, B. A. (1999) · Cited by 11,505
WordNet: An Electronic Lexical Database
Kilgarriff, A., & Fellbaum, C. (2000) · Language · doi:10.2307/417141 · Cited by 11,464
Authoritative sources in a hyperlinked environment
Kleinberg, J. M. (1999) · Journal of the ACM · doi:10.1145/324133.324140 · Cited by 8,959
Data mining and knowledge discovery: making sense out of data
Feyyad, U. M. (1996) · IEEE Expert · doi:10.1109/64.539013 · Cited by 4,612
Understanding robust and exploratory data analysis
Hoaglin, D. C., Mosteller, F. C., & Tukey, J. W. (1983) · Wiley eBooks · Cited by 1,906
Fox, J., Tukey, J. W., McNeil, D. R., Erickson, B. H., & Nosanchuk, T. A. (1978) · Canadian Journal of Sociology / Cahiers canadiens de sociologie · doi:10.2307/3340285 · Cited by 1,834
Authoritative sources in a hyperlinked environment
Kleinberg, J. M. (1998) · Symposium on Discrete Algorithms · doi:10.5555/314613.315045 · Cited by 1,814
Scatter/Gather: A Cluster-based Approach to Browsing Large Document Collections
Cutting, D. R., Karger, D. R., Pedersen, J. O., & Tukey, J. W. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130362 · Cited by 1,419
The increasing linkage between U.S. technology and public science
Narin, F., Hamilton, K. S., & Olivastro, D. (1997) · Research Policy · doi:10.1016/s0048-7333(97)00013-9 · Cited by 1,281
Cited by
Diagnosis and Management of Childhood Obstructive Sleep Apnea Syndrome
Marcus, C. L., Brooks, L. J., Draper, K. A., Gozal, D., Halbower, A. C., Jones, J., Schechter, M. S., Sheldon, S. H., Spruyt, K., Ward, S. D., et al. (2012) · Pediatrics · doi:10.1542/peds.2012-1671 · Cited by 2,432
Automatic Labeling of Semantic Roles
Gildea, D., & Jurafsky, D. (2002) · Computational Linguistics · doi:10.1162/089120102760275983 · Cited by 1,626
Kosala, R., & Blockeel, H. (2000) · ACM SIGKDD Explorations Newsletter · doi:10.1145/360402.360406 · Cited by 1,438
Text Mining Infrastructure in R
Feinerer, I., Hornik, K., & Meyer, D. (2008) · Journal of Statistical Software · doi:10.18637/jss.v025.i05 · Cited by 1,252
Savova, G. K., Kipper-Schuler, K. C., Hurdle, J. F., & Meystre, S. M. (2008) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638592 · Cited by 895
Metadata
- Authors
- Hearst, M. A.
- Venue
- Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -
- Published
- 1999
- Pages
- 3-10
- OpenAlex
- W2121940249
- Cited by
- 867
- References
- 29
- FWCI
- 50.31
- Type
- conference paper
- Language
- en
- Open access
- gold
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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.
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- CoChat. (2026). Citation check: Untangling text data mining. https://app.cochat.ai/papers/10.3115/1034678.1034679
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- Hearst, M. A. (1999). Untangling text data mining. Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -. https://doi.org/10.3115/1034678.1034679
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.
