A Machine Learning Approach to Detect Customer Satisfaction From Multiple Tweet Parameters

arXiv:2402.15992v1 Announce Type: new
Abstract: Since internet technologies have advanced, one of the primary factors in company development is customer happiness. Online platforms have become prominent places for sharing reviews. Twitter is one of these platforms where customers frequently post their thoughts. Reviews of flights on these platforms have become a concern for the airline business. A positive review can help the company grow, while a negative one can quickly ruin its revenue and reputation. So it's vital for airline …

abstract advanced arxiv become cs.cl cs.lg customer customers customer satisfaction development flights happiness internet machine machine learning multiple online platforms parameters platforms reviews technologies thoughts tweet twitter type