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Web Page Classification Using SVM and FURIA
2015
Research Journal of Applied Sciences Engineering and Technology
Text Classification classifies a document, under a predefined category. Mostly, an automatic text classification is an important application taken as a research topic, since the inception of digital documents. In this study, Hypernyms, superordinate words are identified in web and clubbed with entailment rule acquisition. Available tree of hyponym words in the document has been created and used with dependency tree. Features extraction is performed with weighted Term Frequency-Inverse Document
doi:10.19026/rjaset.9.1434
fatcat:r67ovyamv5f2lawqyia6ddjaaa