LAUSR

Nowadays, Social Media has become an important communication tool. Behavior could be measured using machine learning or deep learning techniques. This study represents a proposed model that shows how classification techniques can be used to recognize the personality according to the individuals' tweets using voting technique. The individual behavior is classified according to Eysenck's Three Factor personality model. A comparison was conducted between various machine learning and deep learning approaches as an input to a voting algorithm; which gave us more accurate results in the classifying task. The test results were 84.208% accurate. The study's main target is to make a new hybrid model for Twitter behavior analysis to enhance the accuracy of every approach individually on the dataset. Introducing the deep learning algorithm was to overcome the complexity and the time consuming obstacles. So this study can be used to predict future customers' behavior in order to increase