We use big data technics that can analyze millions of messages, to do this, LLYC´s algorithm extracts and structures public information to better understand the conversation territories, the communities that participate, and the narratives that impact public opinion.
This process allows us to create a predictive model that can generate sociograms on key issues, identifying the drivers of the conversation, the leaders in each community, and the relationship between those who participate.
LLYCs Data Analytics Suite, known by its acronym DAS, is a big data analysis model that uses various technics such as:
- Neuro-linguistic programming (NLP): for the semantic analysis of conversations.
- Machine Learning (ML): for thematic classification.
- Social network analysis (SNA) to create sociograms that help form communities based on similar, pre-determined variables.
- Social Net Promoter Score (sNPS): to build a value-differentiating narrative that allows its promoters to cohere, connecting positively with the business.
This analysis helps us anticipate scenarios and develop patterns by understanding how the conversation has evolved and study what’s being said in real-time, to facilitate decision making and build communication strategies based on data.