CURRENT TRENDS IN NATURAL LANGUAGE PROCESSING APPLICATION AND ITS APPLICATIONS IN IMPROVING THE QUALITY OF TOURISM COMMUNICATION

Abstract

This paper aimed to review the papers published since 2021 to evaluate the current trends in natural language processing. A search of Google Scholar with the time frame of 2021-2023 using a PRISMA methodology yielded 27 papers for review. The review revealed an evolutionary trend from simple NLP models to multitasking, word embedding, neural networks, sequence-to-sequence models, and attention mechanisms to the current trends of pre-trained NLP uses in different contexts. Many techniques and algorithms were used in this process. One of the latest developments was identifying false news about Covid-19 pandemic from social media posts, to reduce risks to the population. Healthcare seems to be a major beneficiary of these developments. Natural Language Processing and its applications to tourism communication present great potential. The consistent development of NLP technology is allowing for the use of automated translation services, personalized tourism messaging, and more natural interplays between humans and AI systems (e.g., through ChatBots). The innovative and powerful capabilities of NLP can potentially help to drive tourism-related services ahead of the curve. As the technology continues to innovate and evolve, the advantage it offers to the tourism industry cannot be understated. A few limitations of this review have been mentioned at the end. This research has implications for tourism communications.

Keywords

• natural language processing
• nlp
• tourism communication
• review