Semantica is announcing today the “categorizer”, an Natural Language Processing product that can analyze text in English and Hebrew and classify the information to a predefined category.

Categorizer performs automated text analysis and categorization. Categorizer configured as a stand-alone product that perform email and messages categorization interfacing the enterprise email server or as a module for text analysis that is interfaced with organizational professional applications.

The requirement to for the Categorizer accepted from 2 customers from different fields. One of them required Public eMailbox Classification and the other is looking for free text messages classification of satisfaction questionnaires.

“Semantica is developing semantics text analysis systems that are based on Natural Language Processing technology (NLP) and Machine Learning. Our technology provides excellent results of messages classification.” said Tal Dayan Semantica’s CEO. “Classification tasks that are done today manually, can be performed by the Categorizer efficiently in a very high reliability and can save manpower in call centers and in back-offices.” added Dayan.

Semantica, established in 2007,  is a spin-off Uniport Ltd., an Israeli  software house. Semantica delivers superior customer-care self-service solutions that are helping customers to reduce significantly their Contact Center manpower and the related costs, while providing a higher level of service.