This application is available only in Italian, English.

What is Semantic Analysis?

Semantic analysis is an automated process of deriving high-quality information from text.

OAKS SAPI solution

OAKS offers SAPI, a solution based on Azure Machine Learning algorithms to analyze structured and unstructured data.

The solution can be used for analytical purposes like:

Saves time and labor costs by automating manual work, minimizing errors
Ensures services based on analyzing big amount of text data
Mitigates risks of not receiving crucial correct information at the right time
Helps making smart decisions on what is fraud, what is risky and what is relevant for business

Automatic customer request sorting by type, complexity, priority, or profitability, and further passing them on to sales people for immediate actions;
Improvement of clients satisfaction by immediate detection of pain and gain points and consequent definition of action plan
Quick acquisition of relevant data from web and databases, to speed up workflows and management;
Risk management: semantic analysis technology enables complete management of thousands of heterogeneous sources, and provides the ability to link together information and be able to access the right information at the right time;
Fraud detection through claims investigation: The majority of information in jurisprudence is collected as text. Insurance companies use text mining technologies by combining the results of semantic analysis with structured data to prevent frauds and swiftly process claims.