Although all competitive organisations need to know their own “market”, in order to properly refer to “Competitive Intelligence” any research process must be structured and constant

HS2 System fulfils these requirements by providing timely, agile and flexible solutions to the “classical” issues of information relevance, and infrastructural investment sustainability

Qualitative, experiential data, referring to one or more research items of interest, are unstructured comments collected in real-time from online, multi-channel sources or from proprietary DB

Selective queries can be run at any time from all devices, enabling professional users to autonomously and instantly gather useful decision-making information

HS2 identifies the relational potential (or “affective charge”) of any linguistic term referring to a concept, brand, product, person, or any other item of interest

The relational potential takes into account the stage of evolution of the VALUES of the message, and the type of CHARACTER of an audience, within a given historical and cultural environment

Once a relational potential has been identified, it is possible to compare it with the one of other items, so that to evaluate the effectiveness of their possible combined use in a communication

Any term to be evaluated is selected by the user, whereas HS2 performs the development and implementation of improved communication concepts

HS2 dictionary has more than 1,000 relationally weighted, constantly updated terms, a repository that can be autonomously expanded by users

By default, HS2 validates 600 occurrences (number of citations of the item of interest), standard precociously set given a proven reliability from an even lower count

HS2 enables surveying any time period in the past (from Jan. 2011), with same quality of real-time researches

The processing of an item of interest employs 44 descriptive linguistic indicators (terms, phrases, syntactic structures, etc.) to identify the position of the item on a bi-dimensional matrix

Therefore, every item of interest has its own specific place in an “absolute” linguistic space, allowing the comparaison with any other item, so that to enable studying all the possible combinations in a communication

The resulting information goes far beyond its “rational” meaning (the opinion, knowledge, truth, or intention of the audience), providing – on the contrary – precious indications about the deep relationships existing between linguistic terms in that cultural environment

For these reasons, near terms can be combined into analogical associations, capable to strengthen audience perceptions, and enhance audience reactions

The approach marks a shift from a RELATIVE representations of concepts (called “Sentiment Analysis”), to an ABSOLUTE one: “Feeling Research”

Which enables users to capture, without any “typical” experimental interference, more important information, and from a deeper system of thought of an even wider public

Also, it allows to freely develop specific linguistic associations, capable – with their augmented “affective charges” – to really boost the impact of communications

The R&D approach of HS2 allows users to find out the inner COEHERENCE and CONSONANCE existing between a message and its audience

Which, in turn, permits to develop analogical (i.e. belonging to the “emotional background”), communications totally aligned with what audience “automatically” perceives, retains, and ultimately uses of a message or content to accomplish any decision-making process

Any human communication carries – IN its text, and WITHIN the context in which it expressed – a meaning, a VALUE traceable to 8 classes

Using the linguistic expressions as pinpoints, HS2 identifies and measures the quality and quantity of meaning that speakers are giving to any item of interest, and represents it with the 8 classes of value

Simultaneously, with the same linguistic expressions used to explore values, HS2 System captures information about 36 CHARACTER traits of the audience, predicting how people in an environment will tend to behave in relation to the item of interest

“Fuzzy Logics” describe the functioning of the right hemisphere of human brain, and are driven by automatisms

HS2 appraises WHAT, and HOW people “automatically”, spontaneously FEEL of a communication stimulus (such as the content of a message), rather than measuring what people rationally THINK, or say of it