Intelligent Natural Language Processing: Trends and Applications by Khaled Shaalan Aboul Ella Hassanien & Fahmy Tolba

Author:Khaled Shaalan, Aboul Ella Hassanien & Fahmy Tolba
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

2.2 Information Extraction

An initiation point for computers to evaluate unstructured manuscripts is to use Information Extraction (IE). IE software recognizes key phrases and relationships included in the manuscript. This is performed through finding the predefined arrangements in a text; this technique is called pattern matching. Regular language text documents consist of information that cannot be utilized for mining. IE agrees with the documentation, choosing appropriate articles, and the association among them to make them more available for added guidance [17, 18]. Contrary to Information Retrieval, which deals with how to recognize relevant documents from a document collection, IE yields structured information prepared for post-processing, which is essential to various applications of Web mining and searching instruments [19]. IE deals with discovering and extracting important information from natural language texts [18]. It consists of separating appropriate text parts, extracting the offered data in such parts, and transforming the data into the functional form. Fractional extraction from domain-particular texts is currently possible; though complete IE from the random text is still a continuing study target [20].

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