Semantic Text Analysis Technology Explained

All around us we can observe, usually without thinking about it, systems composed of small constituent parts. when we look at a house, normally we don't reflect over the brics, pieces of wood and glass and so forth. Rather, we think about the function that their arrangement in the house constitutes. If the building materials all lie in a pile, any two bricks have no fixed mutual relaion, which they do if they are parts of the walls.

In human relations one can observe a similar phenomenon. Two persons who know each other well will change their mutual behavior as a third person approaches them, and when many people gather, communities are formed which provide products and services that no single individual could deliver.

In nature itself we constantly encounter the interplay between smaller systems that produce observable effects on a larger scale.

The same kind of reasoning can be applied to the structure and function of language. The constituent parts are the individual words and some rules of grammar. However, the context of what is being said or written is conveyed through the way in which the words are combined, and just as is the case in nature, it is usually difficult to pinpoint what exactly gives rise to something that we can observe and understand.

The products of Saplo are based upon technologies that can detect relations between words that are not obvious at a first glance. In this way one can find characteristic feauters in sentences and texts which puts us in a position to make various comparisons between written material as well as findin a relation between a given text and other properties such as sentiments, trends, real quantities, evaluations and so forth.