Social-media perception analysis
The main application was to provide a social-media intelligence layer showing how the company and its products were perceived across digital channels. Using NLP techniques, the module could analyse mentions, comments and posts to identify sentiment, recurring topics, the evolution of conversations and early signals of opportunity or risk. This information was useful to marketing, communications, product and customer-service teams, linking social activity to business decisions and reputation monitoring.
Reputation intelligence and early detection
The main benefit was transforming unstructured social-media information into useful decision-making indicators. Automated conversation analysis could detect changes in brand perception, identify product-related problems, anticipate reputational crises and assess market response to campaigns or launches. Although the module is currently inactive because Twitter API costs have made it economically unviable since 2023, its approach remains applicable to other accessible social sources or digital channels.