The University’s Informatics Institute for Postgraduate Studies discussed the master’s thesis of student Suhad Nasrallah Taraf Hanno on analyzing texts and emojis. The study aims to develop an analysis framework for social media users’ texts, symbols, and sentiments by adopting a deep learning methodology to analyze the combination of Arabic texts and common symbols. The methodology was examined using databases specific to the Twitter platform, and the results showed high accuracy in tests of accuracy measures. The study was in computer science and tagged with: “Text and Emoji Analysis to Detect the Sentiment in the Social Media Reviews”. After defending the thesis, the student obtained a master’s degree with a very good grade in computer science.