Currently, social media plays an important role in daily life and routine. Millions of people use social media for different purposes. Large amounts of data flow through online networks every second, and these data contain valuable information that can be extracted if the data are properly processed and analyzed. However, most of the processing results are affected by preprocessing difficulties. This paper presents an approach to extract information from social media Arabic text. It provides an integrated solution for the challenges in preprocessing Arabic text on social media in four stages: data collection, cleaning, enrichment, and availability. The preprocessed Arabic text is stored in structured database tables to provide a useful corpus to which, information extraction and data analysis algorithms can be applied. The experiment in this study reveals that the implementation of the proposed approach yields a useful and full-featured dataset and valuable information. The resultant dataset presented the Arabic text in three structured levels with more than 20 features. Additionally, the experiment provides valuable information and processed results such as topic classification and sentiment analysis.
The current research aims to identify the teachers of students with intellectual disabilities’ satisfaction level with distance education and explore the differences between satisfaction levels due to gender and experience variables. The sample consisted of 84 teachers (male = 44, female = 40) who were chosen with the stratified random method where the percentage of the sample to the original population is 70%. The quantitative research method was used through a descriptive research approach by applying the teachers of students with intellectual disabilities’ satisfaction with the distance education scale. Results demonstrated that teachers of students with intellectual disabilities had a high level of satisfaction with distance education in terms of the overall degree of the scale and its four axes. Besides, there were no statistically significant differences in the teachers' satisfaction levels with distance education due to gender (male and female) and years of experience. In light of the research results, recommendations were presented to increase the satisfaction level of teachers of students with their intellectual development and further research suggestions were presented. Keywords: Distance education, satisfaction, intellectual disability.
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