The study aimed to study the relationship between the use of the Syrian mobile
telecommunications companies' customers for social media (Facebook) for marketing
purposes, and their ability to influence customers at each stage of the purchase proces
s,
which includes:: the generation phase of the need, the stage of the search for alternatives,
the stage of evaluating the alternatives, the stage of making the purchase decision, and the
post-purchase phase. In order to achieve this, a main hypothesis was formulated with five
sub-hypotheses. The researcher used the questionnaire technique to collect the data
analyzed using statistical tests, the most important being the one-sample T. test and the
Pearson Correlation test. The researcher has reached several results, the most important of
which is: There is a strong positive correlation between the use of the Syrian mobile
telecommunications companies' customers for social media (Facebook) for marketing
purposes and all stages of the purchase process.
Opinion polls have been the bridge between public opinion and politicians in elections. However, developing surveys to disclose people's feedback with respect to economic issues is limited, expensive, and time-consuming. In recent years, social media
such as Twitter has enabled people to share their opinions regarding elections. Social media has provided a platform for collecting a large amount of social media data. This paper proposes a computational public opinion mining approach to explore the discussion of economic issues in social media during an election. Current related studies use text mining methods independently for election analysis and election prediction; this research combines two text mining methods: sentiment analysis and topic modeling. The proposed approach has effectively been deployed on millions of tweets to analyze economic concerns of people during the 2012 US presidential election
