Document Categorization Engine Based on Machine Learning Techniques

Autor:	Masharer Bayomi, Jamal Alhiyafi, Mona Altassan, Rawan Alkhurissi, Ahmed A. Maarouf, Alaa Alahmadi, Sunday O. Olatunji, Manar Bayoumi, Asmaa Alnahwi
Rok vydání:	2019
Předmět:	Text mining Text processing Categorization business.industry Computer science Document classification User defined Artificial intelligence business Machine learning computer.software_genre computer
Zdroj:	2019 International Conference on Computer and Information Sciences (ICCIS).
DOI:	10.1109/iccisci.2019.8716398
Popis:	Analysts, researchers, and other users from different fields may spend a lot of time recognizing their work-related documents and organizing them in a way that allows them to make the best use of their content. In this regard, we propose a Document Categorization Engine (DCE) that utilizes concepts of machine learning techniques and data mining. The project aims to develop a system that is capable of classifying documents based on user defined criteria.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bba65cc7ede818d61c1523974d9b4df9 https://doi.org/10.1109/iccisci.2019.8716398 Zobrazit plný text záznamu