TY - GEN
T1 - Clasificador de noticias usando autoencoders
AU - Farias, Gonzalo
AU - Vergara, Sebastian
AU - Fabregas, Ernesto
AU - Hermosilla, Gabriel
AU - Dormido-Canto, Sebastian
AU - Dormido, Sebastian
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - This article presents a classification system for news with Deep Learning. With this tool the news are classified in the following categories: Sports, Politics, Economics, Show and Police. Also they receives an scope: Local (Valparaíso), National (Chile) and International (Rest of the World). The classifiers were built using a database with 542 news labeled with the previous criteria. The features were extracted with Autoencoders (AE) to train an Artificial Neural Network (ANN) of multiple classes Softmax (Softmax ANNs). Both stages were stacked following the concept of Deep Learning. The results with the data test (156 news) reach a success rate of 92.3% for the category classifier and 87.2% for the scope classifier. The general success rate for both, category and scope was 83.75%.
AB - This article presents a classification system for news with Deep Learning. With this tool the news are classified in the following categories: Sports, Politics, Economics, Show and Police. Also they receives an scope: Local (Valparaíso), National (Chile) and International (Rest of the World). The classifiers were built using a database with 542 news labeled with the previous criteria. The features were extracted with Autoencoders (AE) to train an Artificial Neural Network (ANN) of multiple classes Softmax (Softmax ANNs). Both stages were stacked following the concept of Deep Learning. The results with the data test (156 news) reach a success rate of 92.3% for the category classifier and 87.2% for the scope classifier. The general success rate for both, category and scope was 83.75%.
KW - Autoencoder
KW - News Classifier
UR - http://www.scopus.com/inward/record.url?scp=85062167555&partnerID=8YFLogxK
U2 - 10.1109/ICA-ACCA.2018.8609711
DO - 10.1109/ICA-ACCA.2018.8609711
M3 - Conference contribution
AN - SCOPUS:85062167555
T3 - IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings
BT - IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control
A2 - Duran-Faundez, Cristian
A2 - Lefranc, Gaston
A2 - Fernandez-Fernandez, Mario
A2 - Munoz, Carlos
A2 - Rubio, Ernesto
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018
Y2 - 17 October 2018 through 19 October 2018
ER -