Sentiment analysis methods recommendation: A review of ai-based techniques on social media analysis.

The development of the internet and social media means that people can easily convey various personal opinions or expressions. In line with this, many researchers are interested in examining the sentiments they make, considering that nowadays their opinions can be useful for various sectors such as product analysis, latest news analysis, or even political opinion analysis. Several approaches used to analyze public opinion on social media are Machine Learning and Deep Learning. This paper is devoted to finding the best AI-based models for sentiment analysis on social media especially those that are known for higher precision in complexity solving by using Systematic Literature Review (SLR). Of the many papers with the same topic interest, there are a total of 13 papers that meet our criteria which include title, methods, and results. Then, the papers are evaluated one by one in-depth and compared to find the best results. [ABSTRACT FROM AUTHOR]