Supervised Machine Learning
Supervised machine learning requires a considerable degree of effort to fit, validate and test models. This often means that machine learning tends to be focused on fairly narrow fields of application, often within specific domains.
Essencient is a highly effective rules based natural language processing system that can take a large amount of raw data from a particular domain and automatically create the basis for a high quality training set with an excellent range of data points, significantly reducing the time, effort and cost of creating an effective model. It can also provide the basis for creating validation sets, further reducing the implementation time, as well as creating maintenance sets once the model is up and running.
Below is an example of an input and an extract from the output pair that would be included in a data set.