Reputation & Sentiment Analysis
An advanced AI sentiment engine precisely classifies the tone of news and social media into positive, negative, and neutral, tracking the flow of brand reputation in real time. It goes beyond simple mention volume to identify the character of public opinion and pinpoints the origin of negative sentiment and the spread points of positive sentiment through related-keyword analysis.
This helps build a proactive defense system against unexpected media risk and suggests the best communication strategy to strengthen brand value.
Public-Opinion Analysis Powered by an AI Sentiment Engine
An advanced AI sentiment engine precisely classifies the tone of news and social media into positive, negative, and neutral, tracking the flow of brand reputation in real time.
It goes beyond simple mention volume to identify the character of public opinion and pinpoints the origin of negative sentiment and the spread points of positive sentiment through related-keyword analysis.
Deriving Strategic Insight with an AI Assistant
The AI assistant interprets sentiment-classification results, related keywords, and issue changes over time together to organize the key risks and opportunity factors.
Users can quickly derive causes, response directions, and communication priorities through conversational questions without manually combining complex indicators.
Multi-Dimensional Reputation Diagnosis by Media and Target Group
It analyzes differences in response by media type and target group to diagnose how the same issue spreads differently across press, social media, and communities.
Based on this, teams can compare reputation flows by stakeholder group and design channel-specific message strategies and risk-response priorities in a more multidimensional way.
