  In this paper, we present a study of regret and its expression on social
media platforms. Specifically, we present a novel dataset of Reddit texts that
have been classified into three classes: Regret by Action, Regret by Inaction,
and No Regret. We then use this dataset to investigate the language used to
express regret on Reddit and to identify the domains of text that are most
commonly associated with regret. Our findings show that Reddit users are most
likely to express regret for past actions, particularly in the domain of
relationships. We also found that deep learning models using GloVe embedding
outperformed other models in all experiments, indicating the effectiveness of
GloVe for representing the meaning and context of words in the domain of
regret. Overall, our study provides valuable insights into the nature and
prevalence of regret on social media, as well as the potential of deep learning
and word embeddings for analyzing and understanding emotional language in
online text. These findings have implications for the development of natural
language processing algorithms and the design of social media platforms that
support emotional expression and communication.
