Venus Samawi

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—Text summarization is the process of creating a short description of a specified text while preserving its information context. This paper tackles Arabic text summarization problem. The semantic redundancy and insignificance will be removed from the summarized text. This can be achieved by checking the text entailment relation, and lexical cohesion.(More)
Arabic text classification methods have emerged as a natural result of the existence of a massive amount of varied textual information (written in Arabic language) on the web. In most text classification processes, feature selection is crucial task since it highly affects the classification accuracy. Generally, two types of features could be used:(More)
—World Wide Web (WWW) is a mine of information for most people. Due to the huge amount of ‎ information and documents available on the internet, the process ‎ of retrieving documents that are most relevant to user needs become a tremendous problem. In addition to ‎ that, the time needed for retrieving what a user searches for ‎ increases dramatically. In(More)
Application Service Provider (ASP) is a business that makes computer-based services (small and medium sized businesses) available to clients over a network. The usual ASP sells a large application to large enterprises, but also, provides a pay-as-you-go model for smaller clients. One of the main problems with ASP is the insufficient security to resist(More)
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