Conduct public opinion monitoring for brand exploration, market competition analysis, user feedback on products and other aspects.
Comprehensive data coverage
Support multi-modal and cross-modal collection methods, including domestic and foreign news sites, forums, social media, information clients and other sources of graphics, audio and video for semantic understanding and analysis.
Fine-grained label classification
The data label classification is refined, and it can be accurate to the coordinates of the specific incident location of the town, community, and building. Supports four-level industry data labels and has thousands of event label types.
In-depth event research and judgment
It can automatically compare the development trend of similar events; Provide analysis capabilities such as focus recognition, extreme emotion judgment, and audience portrait.
Intelligent data correlation
Based on the AI model, summarize the key points of the incident, analyze the case to provide disposal suggestions, refine the important matters of people's livelihood in advance, and warn of possible outbreaks in advance.
user target
Through the analysis of their own brand influence, for the marketing results and future marketing decisions to make data support.
solution
Global analysis: Through the global volume data display and understanding of the specified related website, help users understand the original influence of the lubricant brand on the specified website through the data.
Fine analysis: In-depth mining and analysis of refined dimensions at different stages according to business goals. Consumers spontaneously discuss word-of-mouth detailed analysis, related words and knowledge graphs, and key opinion mining
