Mobile Choice System

The study of “sentiment analysis” has gained popularity in recent years. It analyzes the emotions and opinions of different subjects by analyzing the data. Then, it classifies the emotions and opinions into positive and negative categories. With the advancement in technology, the mobile industry has had huge growth in its production. Thus, the customers have a lot of mobiles to choose from. However, not all mobiles are suitable for every customer. The preference of the mobile varies from different age groups as well as the price associated with it. People often face confusion while choosing from a range of mobiles to buy. In this paper, we try to address this problem. We perform sentiment analysis on the reviews of the mobile phones collected from the Web site of e-commerce sites to help the buyer decide whether to buy a particular mobile or not and if not then recommend a new mobile phone to a customer. The novelty of our model is that it performs sentiment analysis and recommends a new mobile to the user based on different parameters taken into account.