Analysis of Social Media Data to Predict Customer Purchases

摘要

Ordering data is received from retailers regarding customer purchases. Social media posts made by the customer are received. First, second and third textual elements are identified from the social media posts and sorted into categories. Fourth textual elements are identified from the ordering data and sorted into the categories. When a sum of the first and second textual elements for a category is greater than a predetermined threshold and when one of the first textual elements from the social media posts matches one of the fourth textual elements from the ordering data or when one of the second textual elements and one of the third textual elements are sorted into a same category and the category matches a category for one of the first textual elements from the social media posts, a prediction is made that the customer will purchase a product or a service corresponding to the category.