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With the advent of online data, sentiment analysis has received growing attention in recent years. Sentiment analysis aims to determine the overall sentiment orientation of a speaker or writer towards a specific entity or towards a specific feature of a specific entity. A fundamental task of sentiment analysis is sentiment classification, which aims to(More)
The present paper examines social network sites (SNSs) usage among university students of four Jordanian universities distributed in different regions of the Kingdom. Seven hundred and twenty seven students were sampled and they completed a questionnaire based on the technology acceptance model. In addition, 16 participants, four from each university, were(More)
Most of the Arab world youths are using Social Networks for many different uses, while academic uses are still not in a formal perspective. This study aimed at exploring the academic uses of Social Networks among the students of several Jordanian Universities. The sample was analyzed according to university, faculty, gender, and year level. The study took(More)
Information systems of many organizations are processed through system of interrelated 'C' programs. Since, the 'C' programming language was developed in the early second half of the last century. It couldn't incorporate to facilitate the current day's technology. Therefore, the programs developed based on this are not coping with the advancement of(More)
The rapid growth of the Internet and other computing facilities in recent years has resulted in the creation of a large amount of text in electronic form, which has increased the interest in and importance of different automatic text processing applications, including keyword extraction and term indexing. Although keywords are very useful for many(More)
An efficient method to compress and reduce the dimensionality of Arabic texts using semantic model-based representation of text is introduced. The proposed system creates equivalence classes, where similar words, generated according to the rich productive morphology of the language and based on the stem-root-pattern paradigm, are grouped together and(More)
In this paper, we introduce an efficient method to represent Arabic texts in comparatively smaller sizes without losing significant information. The proposed method uses the linguistic features of the Arabic language, mainly its very productive morphology and its richness in synonyms, to reduce the dimension of the document vector and to improve its vector(More)