Data Analysis on Wireless Services using Twitter Data set

Customer satisfaction for any future invention plays the most important role. This paper shows the sentiment analysis of wireless services in order to find the quality of service. Customer comments posted on social media websites like Twitter will be collected through API. The analysis will be done on that particular word cloud data and storing those emotions in the database. Finally calculating the results by applying Machine learning algorithms, Natural language processing systems, and neural network algorithms like SVM, Naïve Bayes, RNN, and Decision tree.