COVID-19 has torpedoed the plans and strategies of many companies, but not all. Some companies have developed
innovative workarounds. Others have demonstrated immunity. Competitive intelligence is critical to understanding
the why - insights that help your team to mitigate risk, limit risk exposure, expand growth, and design the next game-changing
Natural language processing (NLP) is not new. Organizations have been using various NLP technologies to automate repetitive tasks and extract business intelligence – like topic modeling, word embedding, automate responses, virtual assistance via voice interface. All of the known methods involve supervised learning or pre-training with domain specific information (i.e. specific for hospitality). One has to spend months instrumenting the process, codifying the rules and testing before it can be put to use.
NLP, without general-purpose context and semantic analytical capability, will substantially hinder the acquisition of business intelligence in everyday business communication.
For example, in the current time of uncertainties, tracking the state of the COVID vaccine development in relates to the likelihood of being an answer for economic recovery; how the government responds to the chaotic divergence between the financial market and the economy; how COVID impacts each of the sectors - retail, manufacturing, material, technology, healthcare, real estate, industrial, energy, consumer discretionary, consumer staples. Many of these social and geo-political events are concerns for risk managers. Yet deciphering commentary, opinions, news, and newsletters is impossible if everything has to go through a pre-learn process.
In quantitative analysis dealing with numbers, there is discriminant analysis like LDA and QDA. However, in qualitative analysis, there is none. Today, only SiteFocus offers the technology that provides qualitative analysis with context discriminant.