الفهرس 
Chapter 1. IntroductionOnly 14 pages are availabe for public view
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Abstract
This research is to produce A- A Public Policy Management Framework, B- An outline of the possibilities of applying the framework in Arabic speaking countries. The Public Policy Management Framework includes the following components: (1) Decision Support System for Governments that uses Natural Language Processing (NLP) Techniques, Machine Learning Algorithms (ML) and Web 2.0 concepts and technologies for Citizento Government (C2G) interactions analysis, i.e. by applying different NLPand Data Miningalgorithms to extract knowledge and predict actions. This will lead to adding citizen satisfaction variable to the public policy decision-making equation [Gov-DAF]. (2) Extendable Public Policy Knowledgebase [CPPV] which allow fundamental Public Policy storage and linking for a wide range of use cases including Public Policy learning with the ability of extending this Knowledgebase for other use cases e.g. Citizen to Government Interaction Analysis [Gov-DAF]. (3) Collaboration mining tool which one of its use cases is to enable Public Policy Collaboration suggestions based on organization’s semantic profiles retrieved, built, and compared within the tool. To achieve the aforementioned goals a Government Support Framework for Public Policy Management that analyses governmental public policies (Introduced or Under discussions) and produces citizens’ satisfaction rates (Real-time and Predicted)towards the policy and its aspects by using Natural Language Processing(NLP) Techniques and Knowledge Management Processes for Citizens’ satisfaction is proposed.