The Organization Entity Extraction Telkom University Affiliated using Recurrent Neural Network (RNN)
نویسندگان
چکیده
In the news portal text, there is a lot of important information such as name person, organization, or place. To obtain in text documents manually, humans must read contents entire text. overcome this issue, extraction, commonly called Named Entity Recognition (NER) was used. The extraction expressly for NER field used to make it easier process word sentence data. It helps search engines and also classify places, times, organizations. There limited number Indonesian texts using only Recurrent Neural Network (RNN) method. Similar previous studies employed other versions RNN LSTM (Long Short Term Memory), BiLSTM (Bidirectional Long CNN (Convolutional Network). one answers problems that exist large effectively efficiently. results study indicate system method has an F1 -Score 80%
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ژورنال
عنوان ژورنال: Building of Informatics, Technology and Science (BITS)
سال: 2022
ISSN: ['2684-8910', '2685-3310']
DOI: https://doi.org/10.47065/bits.v4i2.1956