Determination of emotion analysis by classification of hotel customer comments with artificial neural networks by text classification

With the increasing use of the Internet, people have had the opportunity to express their feelings and thoughts on different platforms. Today, people share their positive and negative thoughts about a service they receive on the internet. In this study, the feeling was made popular hotel site analysis study for comments on hotels in Turkey. PHP programming language was used to obtain the data. In the sentiment analysis study, using the ANN algorithm, one of the text classification algorithms, the classification process was performed with different normalization techniques and their success was compared. It was aimed to show the effect of different normalization methods on the success in classification.