Published Paper Details:

The e-commerce sector has experienced tremendous growth recently, particularly in terms of the number of people making online purchases. Many studies have been carried out to ascertain the buying habits of users and, more crucially, the variables that influence the users' decision to buy the product. In order to target a user with a customized advertisement or offer, we will look into whether it is feasible to recognize and anticipate a user's intention to buy a product. In addition, our goal is to develop software that will help companies find prospective buyers of their goods by quantifying their intent to buy based on the users' Twitter profiles and tweets. After applying different text analytical models to tweet data, we have found that it is possible to predict whether or not a user has expressed a desire to purchase a product. Furthermore, the bulk of users who had initially indicated that they would like to buy the product have done so, according to our analysis.