0000000000307889
AUTHOR
Bonomo M.
Prediction of User-Brand Associations Based on Sentiment Analysis
Finding the right users to be chosen as targets for advertising campaigns is not a trivial task, and it may allow important commercial advantages. A novel approach is presented here for the recommendation of new possible consumers to brands interested in distributing advertising campaigns, ranked according to the “compatibility” between users and brands. A database containing both descriptions associated with different brands, and textual information about users' opinions on different topics, is required in input. Then, sentiment analysis techniques are applied to measure to what extent the users match with the brands, based on the texts associated with their opinions. The approach has been…
Amarelli's Industry 4.0 Transformation with IoT and Digital Advertisement: Optimizing Operations and Engaging Customers
This paper presents a vertical IoT solution for Amarelli, a licorice producing company, aiming to optimize their operations and enhance their customer engagement through the integration of IoT technology, Enterprice Resource Planning (EPR) system, e-commerce and social media advertising. The proposed solution includes several key components, such as IoT-enabled production monitoring, warehouse monitoring, RFID tracking, and real-time data analysis. The solution also integrates an ERP system, to provide business intelligence and e-commerce combination to enhance online presence and customer engagement through social media advertising. This vertical solution will enable Amarelli to improve ef…