基于人工智能的广播电视直播实时弹幕情感分析和互动策略研究
Research on Real-time Pop-up Sentiment Analysis and Interaction Strategy of Broadcasting Television Live Streaming Based on Artificial Intelligence
周茹茵1
作者信息
- 1. 菏泽市广播电视台,山东菏泽 274000
- 折叠
摘要
本文探讨了基于人工智能的广播电视直播实时弹幕情感分析和互动策略,将先进的技术融入传统的媒体交互中.通过深入剖析人工智能的核心技术,如机器学习、自然语言处理、计算机视觉和强化学习,以及它们在弹幕情感分析和互动策略中的应用,揭示人工智能如何激发更具个性化、情感化的广播体验.希望为广播电视行业提供新的思路和策略,推动其在数字时代的创新发展.
Abstract
This paper discusses the real-time pop-up emotion analysis and interaction strategy of broadcasting TV live based on artificial intelligence,which integrates the advanced technology into the traditional media interaction.Through an in-depth analysis of core AI technologies,such as machine learning,natural language processing,computer vision and reinforcement learning,and their applications in pop-up sentiment analysis and interaction strategies,we will reveal how AI can inspire a more personalized and emotional broadcast experience.We hope to provide new ideas and strategies for the radio and television industry to promote its innovative development in the digital era.
关键词
人工智能/广播电视直播/弹幕情感分析/互动策略Key words
artificial intelligence/live broadcasting TV/pop-up sentiment analysis/interaction strategy引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据