Our sentiment and opinion analysis datasets collect real user comments, product reviews, social feedback and consulting dialogues globally, with refined annotation of positive, negative and neutral emotional tendencies.

We further subdivide emotional intensity, implicit attitude, viewpoint tendency and demand orientation, covering retail, finance, medical, catering and multiple industries.

All text samples retain original natural expression without artificial polishing, truly restoring user real feedback language characteristics. Multilingual layout is supported, with accurate emotional labeling and detailed viewpoint dimension classification.

The dataset contains ambiguous implicit emotion and mixed viewpoint samples, which can exercise the model’s deep emotional understanding ability.

We provide standard datasets and exclusive customized annotation services for enterprise private opinion corpus. Used for public opinion monitoring, user sentiment mining, product feedback analysis and LLM emotional understanding training, our data enables AI to accurately capture user attitude, hidden needs and emotional changes in complex text.