## 5 Experiment and Results
### Feature Importance Analysis  
In this subsection, a comprehensive discussion and analysis of the most important features for sentiment prediction are presented. Two datasets were selected from the ten versions (Data 4 and 10) to analyze their features. The selection was performed based on their results performance of the proposed approach, where the highest accuracy was obtained by Data 4 in the first rules and Data 10 in the latter rules with 73.6370% and 78.7798%, respectively. Figure 5 illustrates the features order, names, and their translation for the two datasets, while Figures 6 and 7 show the weights of each feature. It is worth mentioning that Data 4 represents the first rules period, whereas Data 10 depicts the latter rules period. The best feature for Data 4 was the 'Corona' term, which means that it is the best feature to differentiate between the sentiment classes. Therefore, whenever the word 'Corona' is used in the comments it is usually utilized to describe a negative context. The second feature was accomplished by the 'Fever' feature. This feature explains one of the most crucial symptoms of the COVID-19 disease. In other words, the majority of people are considering 'Fever' as an important word when they reply to government regulations. Furthermore, the 'Indifference' feature placed third, this indicates how people are afraid of others' reckless/careless behavior during the situation, where they indirectly request and alert others and the government of this attitude. On one hand, feature number four ('Pandemic') explains the situation generally. On the other hand, in feature five, citizens were asking and hoping for a 'Lockdown' as a solution, either for specific locations or the whole country. As can be seen in this period, people were interested more in the disease itself. There are several features such as 'Quarantine, Gathering, Sterilization, and Treatment' proving that. These features show that most opinions are hoping for more consideration from others, thus seeking to increase awareness. Moreover, other features like 'Shortage' and 'Bread' implied that there is some anxiety and concerns about merchandise scarcity, particularly goods like 'Bread'. Additionally, a feature like 'Correct' demonstrates that the majority of citizens agree with the government regulations and were satisfied with the government's overall performance at that time. As for the top-5 features of Data 10, similar to the previous data, feature 'Corona' obtained first place as well, while the second feature was acquired by 'Vaccine' which describes a new positive context. The feature explains the existence or the necessity of 'Vaccine' at this period. Taking the 'Vaccine' becomes the best and the foremost solution to permanently get rid of Covid-19. Besides, the third feature ('Permit/Statement') can be described in two ways: first by giving permission of others, stores, and places to get out or open, while in the second way, it could mean that it's an announcement from the decision-makers which is more likely considering the following feature. The 'Regulations' feature shows that there is more interest from people of this period about government regulations and how it can influence their lives and other things like the next feature, 'Salary'. In this second period, we can notice that people change their interest from the disease to the declaration of the government. Features such as 'Open', 'Conditions', and 'Work'