Finding Purchase Intention Using Social Media
Keywords:
Text Analytics, Sentiment Analysis, Twitter Tweets, Deep Learning, Purchase Intention.Abstract
The e-commerce sector, and more especially, the number of people purchasing goods online, has grown significantly in recent years. A great deal of study has been done to identify user purchasing patterns and, more crucially, the variables that influence a user's decision to purchase a product or not. This study aims to investigate the feasibility of identifying and forecasting a user's intention to acquire a product, and then directing the user towards the product through a customized advertisement or promotion. We also want to create software that will assist companies in identifying possible buyers of their goods by quantifying the buyers' intent to buy based on user profile information and tweets. After analyzing tweet data using a variety of text analytical models, we were able to determine whether or not a user had expressed a desire to buy a product. Furthermore, our research revealed that the majority of users who had initially expressed a desire to buy the product had also gone on to make a purchase.
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