The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
A Brief Survey of Text Mining
Open accessAbstract
A Brief Survey of Text MiningThe enormous amount of information stored in unstructured texts cannot simply be used for further processing by computers, which typically handle text as simple sequences of character strings.Therefore, specific (pre-)processing methods and algorithms are required in order to extract useful patterns.Text mining refers generally to the process of extracting interesting information and knowledge from unstructured text.In this article, we discuss text mining as a young and interdisciplinary field in the intersection of the related areas information retrieval, machine learning, statistics, computational linguistics and especially data mining.We describe the main analysis tasks preprocessing, classification, clustering, information extraction and visualization.In addition, we briefly discuss a number of successful applications of text mining.
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Cites
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Explaining Data-Driven Document Classifications1
Martens, D., & Provost, F. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.1.04 · Cited by 264
Approaching human language with complex networks
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Bias in the reporting of sex and age in biomedical research on mouse models
Flórez-Vargas, O., Brass, A., Karystianis, G., Bramhall, M., Stevens, R., Cruickshank, S., & Nenadic, G. (2016) · eLife · doi:10.7554/elife.13615 · Cited by 124
An International Crowdsourcing Study into People's Statements on Fully Automated Driving
Bazilinskyy, P., Kyriakidis, M., & de Winter, J. (2015) · Procedia Manufacturing · doi:10.1016/j.promfg.2015.07.540 · Cited by 102
Thakkar, A., & Chaudhari, K. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106684 · Cited by 88
Metadata
- Authors
- Hotho, A., Nürnberger, A., & Paaß, G.
- Venue
- Journal for Language Technology and Computational Linguistics
- Publisher
- University Library J. C. Senckenberg
- Published
- 2005-07-01
- Volume
- 20
- Issue
- 1
- Pages
- 19-62
- ISSN
- 0175-1336 (ISSN-L)
- 2190-6858
- OpenAlex
- W80463681
- Cited by
- 893
- References
- 88
- FWCI
- 9.28
- Type
- journal article
- Language
- en
- Open access
- hybrid
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