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In this work, we investigate sentiment mining of Arabic text at both the sentence level and the document level. Existing research in Arabic sentiment mining remains very limited. For sentence-level classification, we investigate two approaches. The first is a novel grammatical approach that employs the use of a general structure for the Arabic sentence. The second approach is based on the semantic...
The development of a parser based textual entailment system that is based on comparing the dependency relations in both the text and the hypothesis has been reported. The textual entailment system uses the CCG Parser and the Stanford Parser. The Dependency Parser has been run on the 2-way Parser Training and Evaluation (PETE) (SemEval-2010 Evaluation Exercises on Semantic Evaluation Task 12 Parser...
A new method to compute Chinese text concept is proposed in this paper. In this method, we construct sentence vectors from the text by extracting and quantifying some syntax and semantic features such as concept elements, dependent relations and correlative relations. Then, we combine these sentence vectors to the text vector to represent the text concept. Experimental results show that, in the application...
Authentication and copyright protection of digital contents over the internet is an important issue. Digital watermarking provides a complete authentication and copyright protection solution for this problem. Besides, image, audio, and video; text is the most dominant medium travelling over the internet and it requires complete protection. Text watermarking techniques have been developed in past to...
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