摘要
票房与网络评价之间存在着数据上、逻辑上的关联,本文将理论分析与实证分析相结合,利用clementine软件基于神经网络模型根据豆瓣网网络评价和时光网网络评价分析网络评价对电影票房走势的影响。分析表明在各个阶段,影响票房的网络评价指标各不相同却又有一定的关联性。电影制作公司应该根据各个时期影响票房的网络评价指标作出不同的反应决策,提高电影票房,降低票房下降率。
The box-office are logically related to the Internet critics of the film which is also shown in the data collected.This paper combines the theoretical analysis and empirical analysis,using Clementine,which based on Neural Network Model.Considered Douban network evaluation and Time network evaluation,it analyses how the evaluation influences the box-office.And it shows that in every stage,affecting evaluation indexes are different but they have certain relevance.Film production companies should make different stage of network evaluation index to improve the movie box-office,reducing the rate of sales decline.
作者
魏明强
黄媛
WEI Ming-qiang;HUANG Yuan(School of Science,Communication University of China,Beijing 10024,China)
出处
《中国传媒大学学报(自然科学版)》
2017年第3期68-71,共4页
Journal of Communication University of China:Science and Technology
关键词
电影票房
网络口碑
趋势
时机
box-office
internet word of mouth
trends
timing