Research On the Innovation of Host Ability Integrating Natural Language Processing Technology

He Sun, Xi You
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Abstract

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.
融合自然语言处理技术的主持人能力创新研究
在媒体和其他信息平台中采用自然语言处理(NLP)技术因其吸引观众的能力而变得越来越重要。NLP 工具可以提高主持人的内容表达能力和观众的行动力。本研究主要侧重于研究 NLP 对提高主持人能力的影响,重点是法制电视节目(L-TV-P)的播报。该研究采用混合模式方法,针对讲英语的 L-TV-P,参与者来自北美和欧洲,为期 18 个月。通过实施前研究,NLP 整合前和整合后分析方法审查了现有的托管系统和观众的行动水平。通过培训主持人和制作试播集,将 NLP 工具纳入节目主持工作。分析采用了系统的衡量标准,通过一系列审查分析 NLP 在培养主持人能力方面的影响。这些分析和评论数据分析的结果表明,对 NLP 在 L-TV-P 主持中的有效性有了基本的认识,并显示了 NLP 如何在小众广播领域显著加强公众学习和交流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.80
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