Predicting STC Customers’ Satisfaction Using Twitter

The telecom field has changed accordingly with the emergence of new technologies. This is case market in Saudi Arabia, which expanded 2003 by attracting investors. As a result, became viable [1] . prevalence mobile voice service among population Arabia for that, this research aims at mining Arabic tweets to measure customer satisfaction toward Telecom company Arabia. use Company (STC) contribution study will be capitalized as recommendations company, based on monitoring real-time their customers’ Twitter and from questionnaire analysis. It first work evaluate telecommunications (telecom) using both social media quantitative method. been built corpus tweets, Python script searching that mention hashtags monitor latest sentiments customers continuously. subset 20 000 are randomly selected dataset, training machine- classifier. In addition, we have done experimented deep learning network. results show each ranges between 31.50% 49.25%. One proposed 5G solve “internet speed” problem, showed lowest satisfaction, 31.50%.This article’s main contributions defining traceable measurable criteria companies providing companies’ through Twitter.