Published Paper Details:

Recently, there has been a significant increase in the ecommerce industry, specifically in people purchasing goods online. A lot of research has been conducted to determine a user's purchasing patterns and, more importantly, the factors that determine whether or not the user will purchase the product. In this study, we will investigate whether it is possible to identify and predict a user's purchase intention for a product, and then target that user with a personalized advertisement or deal. Furthermore, we hope to create software that will assist businesses in identifying potential customers for their products by estimating their purchase intention in measurable terms based on their tweets and user profiles on Twitter. We have discovered that it is possible to predict whether or not a user has expressed a desire to buy a product after applying various text analytical models to tweet data. Additionally, our analysis has shown that the majority of users who had initially expressed a desire to buy the product have also purchased it.