Banyak aplikasi natural language processing (NLP) mempelajari penyematan kata dengan melatih koleksi dokumen yang besar. Representasi vektor yang telah dilatih sebelumnya ini memberikan informasi tentang semanti
At this point, Natural Language Processing (NLP) techniques offer the potential to efficiently generate results from large datasets without human intervention. This study presents a Naive Bayes (NB)-based classification system, developed using Python, aimed at categorizing news headlines...
Building and developing Artificial Neural Network algorithms in creating an optimal system to provide recommendations for human mental health consultations from the experts, with the focus on accurate and precise input and output data with Natural Language Processing (NLP), Artificial Neura...
In this study, metadata extraction and classification from the contents of learning objects were made automatically by using deep learning methods such as Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and Natural Language Processing (NLP). The success and accu...