With the advancing technology and the internet is wide spread and is the most important thing for every field from education, entertainment to work and most importantly the communication and interaction with people depends a lot on the social networking sites via internet. The most trending social networking applications that are used by people are Facebook, twitter, WhatsApp, Instagram etc. influence the decisions and views of people on most of the topics. The topmost position is held by Facebook after which twitter is widely used. Twitter is an online new and social networking platform that allows users to tweet, post and exchange messages and pictures. It is a platform where multiple people give their views about different topics. The users of twitter are increasing day by day which leads to more no. of users sharing data and communicating to exchange views. There has been a lot of work in the field of analysis of the twitter data. This paper focuses on analysing the twitter data for prediction of views and opinion about the particular product. This is done so that the producer gets to know the views about product and consumers can get an idea whether to buy the product or not. Here, we are analysing the twitter data for analysis of iPhone X which was released on 3rd November, 2017. The samples are obtained from the twitter dataset using the twitter API. This dataset has detailed entries about the tweets done by various people which is analysed to obtain the reviews about the iPhone X. The analysis will be based on Naïve Bayes. The plot will represent the prediction of opinion of the people about the product. Copyright © 2019 American Scientific Publishers All rights reserved.