KNN with TF-IDF based Framework for Text Categorization
Copyright policy )KNN with TF-IDF based Framework for Text Categorization
KNN is a very popular algorithm for text classification. This paper presents the possibility of using KNN algorithm with TF-IDF method and framework for text classification. Framework enables classification according to various parameters, measurement and analysis of results. Evaluation of framework was focused on the speed and quality of classification. The results of testing showed the good and bad features of algorithm, providing guidance for the further development of similar frameworks.
- Međimurje University of Applied Sciences in Čakovec Croatia
- University of Sarajevo Bosnia and Herzegovina
machine learning, framework, K-Nearest Neighbor, TF-IDF, text documents classification ; K-Nearest Neighbor ; TF-IDF, framework ; machine learning, text documents classification, Engineering(all)
machine learning, framework, K-Nearest Neighbor, TF-IDF, text documents classification ; K-Nearest Neighbor ; TF-IDF, framework ; machine learning, text documents classification, Engineering(all)
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