Abstract: To solve the problems of polysemy and feature extraction in the text sentiment analysis process, a BERT-CNN-BiLSTM-Att hybrid model has been proposed for text sentiment analysis. The BERT ...

Abstract: Vast growth in the customers of the social media platform leads to automatic sentiment analysis based on the review, post, profile, and comment text to characterize the emotional status of ...

Small-Text provides state-of-the-art Active Learning for Text Classification. Several pre-implemented Query Strategies, Initialization Strategies, and Stopping Criteria are provided, which can be ...

Pystra (Python Structural Reliability Analysis) is a python module for structural reliability analysis. Its flexibility and extensibility make it applicable to a large suite of problems. Along with ...

Moderator analysis was performed to identify the sources of heterogeneity. Results: A total of 36 studies were included. We observed a significant overall correlation between social media texts and ...