Hope speech can help to reduce hostile environments and alleviate illnesses and depression, which makes it important to detect it automatically. In this paper, we present our submission for the HOPE: Multilingual Hope Speech Detection shared task at IberLEF 2023, which includes two sub-tasks: detecting hope speech in Spanish tweets and English YouTube comments. We proposed a word-based tokenization approach to train a Convolutional Neural Network (CNN). Our decision to use CNNs was inspired by previous works in hope speech detection that achieved good results using this method. Our approach achieved the fourth place in both sub-tasks. The source code to reproduce our results can be found at https://github. com/moeintash72