Evaluation of catchphrase using multiple inputs

Abstract

As the share of digital advertising has increased, much research has been done on taglines. The theme of this research is the evaluation of catchphrases. In this study, the accuracy was improved by extracting features such as vowels and parts of speech from sentences and using a deep learning model with multiple inputs. We verified the proposed method with several patterns and confirmed its effectiveness.