Considering that the current social network text analysis works poorly in accurate and
effective sentiment prediction and management, a deep learning (DL)-based text sentiment …

Microblogs are currently one of the most well-liked social platforms in China, and sentiment
analysis of microblog texts can help further analyze the realization of their media value; …

The goal in this research was to transform unstructured textual data for drug datasets into
structured texts while integrating sentiment analysis and recommendation systems to …

In this paper, a BERT-BiLSTM-based consumer review text sentiment analysis method in the
e-commerce big data field is proposed. First, the unlabeled text is trained using the BERT …

The goal in this research was to transform unstructured textual data for drug datasets into
structured texts while integrating sentiment analysis and recom-mendation systems to …

Medical data mining has been a widespread data mining area of late. Mainly, diagnosing
cancers is one of the most important topics that many researchers studied to develop …