ICA – Intelligent Content Analysis

Automatic analysis of the text, formatting unformatted data.

Melingo’s Intelligent Content Analysis (ICA) is an advanced system, developed by Melingo using algorithm based text analysis and entity extraction tools.  Given texts in Hebrew, Arabic or Persian, the system gives two outputs:

Complete analysis of the text – the system takes the inputted text and outputs an analysis of each word according to its root, part of speech, ascription to a word combination, prefix, tense etc.

Textual entities found in the text –  a text is inputted, and the system extracts the main entities appearing in it, and categorizes them in categories such as names, places, organizations, addresses, non-verbal chains such as telephone numbers, car license numbers, credit cards, email addresses, URLs etc.

The entities are extracted to a synopsis where they are listed according to type, subtype and number of appearances.

ICA functions as an open interface under Windows in net, C++ and JAVA.  It is actually an API which allows the user to make wide and flexible use of its output, while being easily combined in existing software.

System add-ons

UDK – User Defined Keyword

The UDK component is an add-on  which makes possible the addition and enrichment of organizational categories (as a category dictionary personally adapted and managed by the customer) for the purpose of entity extraction.  This capability makes it possible to ascribe words or names to new categories or to add them to existing categories.

For example, the user can define the word ‘lily’  as an entity in the  category ‘weapons’, or as an entity in a new category defined according to his needs, for instance ‘flowers’ or ‘plants’.

Organizational lexicon

The organizational lexicon component is another add-on to the ICA system which can specifically affect the resulting analyses.  The customer can affect resulting homonyms by scoring them, giving a higher score to the desired result.