Classification of digitized documents applying neural networks
Date
2020-03-05
2020-03-05
Author
amelec, viloria
Varela, Noel
Pineda Lezama, Omar Bonerge
ORELLANO LLINAS, NATALY
Flores, Yasmin
Hernandez Palma, Hugo Gaspar
Vargas Mercado, Carlos
Marín González, Freddy
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Abstract
The exponential increase of the information available in digital format during the last years and the expectations of future growth make it necessary for the organization of information in order to improve the search and access to relevant data. For this reason, it is important to research and implement an automatic text classification system that allows the organization of documents according to their corresponding category by using neural networks with supervised learning. In such a way, a faster process can be carried out in a timely and cost-efficient way. The criteria for classifying documents are based on the defined categories.
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