Employing Natural Language Processing (NLP) in media and other information platforms has gained much importance lately due to its ability to pull viewers. The NLP tools enhance the host’s content delivery skills and viewer action. This study generally focuses on studying the impact of NLP on enhancing host ability, focusing on Legal TV Programme (L-TV-P) delivery. The study used a mixed-model methodology directed at English-speaking L-TV-P and included participants from North America and Europe for 18 months. The pre-NLP and post-NLP integration analysis methods review existing hosting systems and viewers' action levels through the pre-implementation study. The NLP tools are included in the programme's hosting through training hosts and making pilot episodes. The analysis deployed systematic metrics to analyse the impact of NLP in developing the host's ability through a series of reviews. The results of these analyses and the review data analysis suggest essential awareness of the effectiveness of NLP in L-TV-P hosting and show how it can significantly enhance public learning and communication in niche broadcasting areas.
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He Sun
He Sun
International College, Krirk University, Bangkok, 10220, Thailand.
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Cite this article
He Sun and Xi You, “Research On the Innovation of Host Ability Integrating Natural Language Processing Technology”, Journal of Machine and Computing, pp. 181-188, January 2024. doi: 10.53759/7669/jmc202404017.
