ClusterTech has been interviewed by HKET Media, highlighting its groundbreaking social listening solution. This innovative solution leverages Natural Language Processing (NLP) and Large Language Model (LLM) technologies to analyse vast amounts of information from news and social media, enabling clients to easily monitor market dynamics.

ClusterTech’s Social Listening Solution can analyse a large number of social media posts and comments in real-time to accurately identify their sentiment and interests. In addition to helping enterprises understand users' evaluation of their products and services, and alerting them to handle customer complaints on social platforms, it can also enable enterprises to detect and address potential public relations crises in a timely manner. In addition, we can categorise bilingual and trilingual posts and automatically tag key vocabularies and topics involved in the posts, so that enterprises can quickly discover what users care about and capture market dynamics promptly. By collecting and analysing the social data of target customers, enterprises can match customers' social behaviour with internal sales records to optimise their marketing and sales strategies. Data summaries and visualisations provide an intuitive view of the social analysis results to support business decisions.

ClusterTech expertise has been well received by both public and private organisations, and last year it started to collaborate with a Hong Kong financial institution to develop its news monitoring system.

For more details, you may explore the full article on the HKET website: https://paper.hket.com/article/3874163.

For further insights into ClusterTech and its groundbreaking social listening solution, please visit: https://www.clustertech.com/AI-and-Analytics/PRISMA-Social-Listening-Solution-Empowering-BFSI-AI-Driven-Insights-Enhance-Risk-Management-and-Compliance.