机器学习在广播电视新闻类节目用户评论分析系统中的应用研究  

Research on the Application of Machine Learning in the Analysis System of User Reviews for Broadcasting and Television News Programs

作　　者：燕宪文 Yan Xianwen(Department of Automation,Tsinghua University,Beijing 100083,China)

机构地区：[1]清华大学自动化系,北京100083

出　　处：《广播与电视技术》2024年第6期55-59,共5页Radio & TV Broadcast Engineering

摘　　要：基于广播电视新闻类节目的用户评论分析与应用,对于主流媒体舆论引导力建设、内容生产指导和媒体传播效率提升意义重大,本文基于对新闻类节目用户评论的价值和现存问题剖析,构建了一套系统级解决方案,通过研究机器学习在用户评论分析系统中的应用实践,提出了新闻类节目用户评论分析与应用的新方法。Based on the analysis and application of user reviews on broadcasting and television news programs,it is of great significance for the construction of public opinion guidance,content production guidance and the improvement of media communication efficiency.This paper analyzes the value and existing problems of user reviews on news programs,constructs a system-level solution,studies the application practice of machine learning in the field of user review analysis system,and proposes a new method for the analysis and application of user reviews for news programs.

关 键 词：新闻类节目 用户评论 机器学习 情感分析 模型 算法 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]