There is a need to extract meaningful information from big data, classify it into different
categories, and predict end-user behavior or emotions. Large amounts of data are …

Traditional neural network based short text classification algorithms for sentiment
classification is easy to find the errors. In order to solve this problem, the Word Vector Model …

In the field of health and medicine, there is a very important term known as clinical trials.
Clinical trials are a type of activity that studies how the safest way to treat patients is. These …

The proposed algorithms are Bidirectional Long Short Term Memory (BiLSTM) and
Conditional Random Fields (CRF) with Data Augmentation Technique (DAT). DAT …

In recent years, the application of deep learning methods has become increasingly popular,
especially for big data, because big data has a very large data size and needs to be …

Teknik klasifikasi teks dalam pemrosesan bahasa alami memegang peranan penting dalam
mengelompokkan data digital ke dalam kategori yang telah ditentukan sebelumnya …

Accurate classification of cancer-related medical abstracts is crucial for healthcare
management and research. However, obtaining large, labeled datasets in the medical …

With the rapid development of the Internet, the number of social media and e-commerce
platforms increased dramatically. Users from all over world share their comments and …

Forecasting is one of machine learning's most significant features. In machine learning,
forecasting issues are classified as supervised learning algorithms. Label or target data …

Childfree is a condition in which a person or couple decides not to have children in
marriage. Childfree became popular in Indonesia when YouTuber and influencer Gita Savitri …