Text Mining

ShutterFlex Text Mining tools provide powerful text processing capabilities to derive high quality information from structured and non-structured Arabic text content and databases. The Text Mining platform includes a server engine and SDK. Powered by ShutterFlex industry-leading Arabic natural language processing (NLP) technology, Text Mining finds patterns and trends through means such as statistical pattern learning. The Text Mining process includes structuring input text, deriving patterns within the structured data, and evaluation and interpretation of the output.

Keyword Extraction Extracts keywords and expressions with special significance to the text subject. Also extracts named entities including persons' names, places, named organizations, famous expressions, and others. Keyword Extractor saves time by extracting the most important information within high volumes of content.

The main Text Mining Engine responsibility is to analyze the corpus text and to extract features from the text data corpus using advanced statistical modeling, natural language processing and advanced linguistic technologies to discover patterns from any text in text format. The Natural language processing (NLP), which is a subfield of the artificial intelligence and linguistics research technology, studies the problems of automated generation and understands the natural language data contained in the documents.

The system provides a comprehensive text analytics software to extract pre-specified entities information like (Names, Gender, Nationality, Addresses, Objects and various terms).

It also deals with the required pre-specified entities information through understanding the input Arabic words features and classifications in terms to handle all of the tokens stems with all of its pattern variations, regardless of any prefix or suffix combinations.

Download: Data Sheet