A domain-specific BERT-based language model built on 30 million social media comments, tailored for sentiment, cognitive, and narrative analysis of user-generated comments on corporate social media accounts.

This model is designed to capture fine-grained linguistic signals in social media comments directed at corporate and brand accounts. It supports large-scale analysis of how users express emotions, cognitive judgments, and narratives in online corporate communication contexts.

The model is intended primarily for academic research, teaching, and applied analytics involving corporate social media, digital reputation, and online engagement.

For details, contact zhenglei@sufe.edu.cn