A study of stemming algorithms in text mining

Authors

  • Dr. (Ms). Ananthi Sheshasayee1, Ms.G. Thailambal2 1Head and Associate Professor, Quaid -e- Milleth College for Women, Chennai, India: 2Research Scholar, SCSVMV University, Kancheepuram, India

Abstract

Text Mining is the term used as an alternate to Knowledge Discovery in Web. Finding relevant documents for the user query is the process of text mining. Deciding which documents should be retrieved is a difficult task for the researcher. The query terms are matched along with the terms of the document and the decision is made either binary, i.e., Retrieved / Rejected or the relevance of the document is estimated. The terms will be morphological so that the need of stemming arises which further reduces the size of the document. Therefore, it increases the processing time and decreases the storage space. In this paper a study of Stemming algorithms and the factors used to calculate its efficiency and the strength of the Stemmer are discussed.
Key words: Text Mining, Stemming, Morphological terms, Porter Stemmer

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Published

2014-10-30

How to Cite

Ms.G. Thailambal2, D. (Ms). A. S. (2014). A study of stemming algorithms in text mining. International Journal of Engineering Technology and Computer Research, 2(5). Retrieved from https://ijetcr.org/index.php/ijetcr/article/view/46

Issue

Vol. 2 No. 5 (2014)

Section

Articles

License

Creative Commons LicenseInternational Journal of Engineering Technology and Computer Research (IJETCR) by Articles is licensed under a Creative Commons Attribution 4.0 International License.