Work

KNN with TF-IDF based Framework for Text Categorization

Year: 2014

Type: conference-paper

Abstract: 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.

Source: Procedia Engineering

DOI: 10.1016/j.proeng.2014.03.129

Authors: Bruno Trstenjak, Sasa Mikac, Dzenana Donko

Institutions: Polytechnic of Međimurje in Čakovec, University of Maribor, University of Sarajevo

Language: English

Topic: Text and Document Classification Technologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W1995258314

FWCI: 4.74

Cites: 18

Cited by: 376

Related to: 10