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      • Open Access Article

        1 - A Review on Hadith Text Processing Tasks
        Sepideh Baradaran Behrooz Minaei Mohammad Ebrahim Shenassa Sayyed Ali Hossayni
        In order to facilitate and achieve higher precision and less processing time, it is recommended to evaluate the authenticity of hadith by intelligent methods. Due to the huge volume of narrative texts (hadith) and the complex concepts and relationships in them, many res More
        In order to facilitate and achieve higher precision and less processing time, it is recommended to evaluate the authenticity of hadith by intelligent methods. Due to the huge volume of narrative texts (hadith) and the complex concepts and relationships in them, many researches have been conducted in the field of automatic hadith processing. In this field, some researchers have evaluated intelligent methods in the fields of Matn (text) and Isnad processing, which according to the review of previous researches, about 47% of them in the field of hadith text processing and 46% in the case of Isnad processing of hadiths and 7% have done research in both fields. By examining 97 researches in the field of processing hadiths, it was found that hadiths were evaluated in the field of measuring the accuracy of the text or Isnad or both cases. Processing tasks can be classified into different categories such as ontology construction, hadith text classification, hadith similarities and hadith authentication. The most used hadith processing method has been the information retrieval method in the field of hadith text processing. Manuscript profile
      • Open Access Article

        2 - A Horizon for Sentiment Analysis in Social Networks based on Interpreting Contents
        Maryam Tayefeh Mahmoudi َAmirmansour  Yadegari Parvin Ahmadi Kambiz Badie
        Interpreting contents in social networks with the aim of analyzing the sentiment of their narrators is of particular significance. In this paper, we present a framework for such a purpose, which is able to classify the messages hidden in contents based on using some rul More
        Interpreting contents in social networks with the aim of analyzing the sentiment of their narrators is of particular significance. In this paper, we present a framework for such a purpose, which is able to classify the messages hidden in contents based on using some rule-type protocols with high abstraction level. According to this framework, items such as prosodic of a content's narrator, context of disseminating a content and the key propositions in a content's text are regarded in the condition part of a protocol, while the possible classes for the message in a content are considered as its action part. It is to be noted that the proposed rule-type protocols can equally be used for other languages due to the generic-ness of the above-mentioned items. Results of computer simulations on a variety of different contents in the social networks show that the proposed framework is sufficiently capable of analyzing the sentiment of the contents' narrators in these networks. Manuscript profile
      • Open Access Article

        3 - A Review on Hadith Text Processing Tasks
        Sepideh Baradaran Behrooz Minaei Mohammad Ebrahim Shenassa Sayyed Ali Hossayni
        In order to facilitate and achieve higher precision and less processing time, it is recommended to evaluate the authenticity of hadith by intelligent methods. Due to the huge volume of narrative texts (hadith) and the complex concepts and relationships in them, many res More
        In order to facilitate and achieve higher precision and less processing time, it is recommended to evaluate the authenticity of hadith by intelligent methods. Due to the huge volume of narrative texts (hadith) and the complex concepts and relationships in them, many researches have been conducted in the field of automatic hadith processing. In this field, some researchers have evaluated intelligent methods in the fields of Matn (text) and Isnad processing, which according to the review of previous researches, about 47% of them in the field of hadith text processing and 46% in the case of Isnad processing of hadiths and 7% have done research in both fields. By examining 97 researches in the field of processing hadiths, it was found that hadiths were evaluated in the field of measuring the accuracy of the text or Isnad or both cases. Processing tasks can be classified into different categories such as ontology construction, hadith text classification, hadith similarities and hadith authentication. The most used hadith processing method has been the information retrieval method in the field of hadith text processing. Manuscript profile