Identification of Personality Traits from Bangla Social Media Texts and Explaining with LIME

The extensive use of social media has provided people with a digital platform to express their ideas, sentiments, emotions, and opinions. This study focuses on the identification of personality traits from Bangla social media texts. Leveraging a diverse range of machine learning and deep learning methods, including BERT-based architectures, we improved the classification accuracy in this domain. The large variant of BanglaBERT emerged as the top performer, achieving an accuracy of 47.97%. While notable progress was made, challenges remain due to the dataset’s size and the complexity of social media texts.