Communications analytics adopts AI and machine learning-based solutions to understand brand-related data and provides informative insights into the fast-changing situation.
Log inComms Analytics supports multiple types of data analysis, including peak analysis, hidden topic discovery and influencer detection.
Peak Analysis measures and identifies the moment of abnormal online sharings and discovers the issues driving the peaks. Our approach helps decision-makers to perform risk accessment and monitor the potential risks within online discussions.
Topic Extraction employes the state-of-the-art topic modelling methods that go beyond the keword analysis. Our approach provides the most effective insight discovery in text and uncovers the most critical threats and opportunities that decision-makders should take action on.
User Analytics segments and characterises online users based on their social sharing behaviors. Our approach has successfully uncovered the most relevant influencers who owns the greatest social network impact in the long run .
Predictive Analytics indicates the trend and position of a brand in the future and offers early-warning systesms to brands when the major crisis events are happening.
Communications Analytics process incldues data ingestion, information extraction, insight discvoery and visualization.
Data Ingestion
Information Extraction
Insight Discovery
Pattern Visualization