The rising engagement between humans and smart systems has driven innovations in technologies that understand, process, and produce human languages. NLP allows computers to process text-based and speech data that help develop solutions like language translation, information extraction, sentiment analysis, questions answering, and dialog systems. Furthermore, generative AI builds upon NLP to create sensible texts, synthetic content, and context-based responses that can facilitate creative thinking, communication, and discovery of knowledge. With advancements in NLP and generative AI technology, they have become a powerful means of accessing, processing, and utilizing information in various fields. The Journal of Advanced Data Science and Computational Intelligence promotes papers on novel NLP techniques, generative algorithms, multi-lingual technologies, large language models, and human-in-the-loop AI systems. By sharing state-of-the-art research results, the journal aims to contribute to developments in intelligent language processing technologies that improve communication, automation, and human-computer interactions.