Towards Automatic Domain Classification of Technical Terms: Estimating Domain Specificity of a Term Using the Web
This paper proposes a method of domain specificity estimation of technical terms using the Web. In the proposed method, it is assumed that, for a certain technical domain, a list of known technical terms of the domain is given. Technical documents of the domain are collected through the Web search engine, which are then used for generating a vector space model for the domain. The domain specificity of a target term is estimated according to the distribution of the domain of the sample pages of the target term. Experimental evaluation results show that the proposed method achieved mostly 90% precision/recall.
KeywordsElectric Engineering Target Domain Technical Term Vector Space Model Document Similarity
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- 3.Huang, C.-C., Lin, K.-M., Chien, L.-F.: Automatic training corpora acquisition through Web mining. In: Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence, pp. 193–199 (2005)Google Scholar
- 4.Joachims, T.: Learning to Classify Text Using Support Vector Machines: Methods, Theory, and Algorithms. Springer, Heidelberg (2002)Google Scholar
- 5.Liu, B., Dai, Y., Li, X., Lee, W.S., Yu, P.S.: Building text classifiers using positive and unlabeled examples. In: Proceedings of the 3rd IEEE International Conference on Data Mining, pp. 179–186 (2003)Google Scholar
- 6.Liu, B., Li, X., Lee, W.S., Yu, P.S.: Text classification by labeling words. In: Proceedings of the 19th AAAI, pp. 425–430 (2004)Google Scholar