基于文本情感分析的类型电影受众特征与偏好研究

Research on Film Genre Audience and Preference Based on Text Sentiment Analysis

受众特点对于电影来说极具重要性,不同类型电影的受众群体和受众偏好也各不相同,如何从海量用户行为数据中提取不同类型电影的受众特征,并从用户评论文本中挖掘用户对不同类型电影的偏好特点是本文研究的重点。本文主要基于文本情感分析算法,选取近年来上映影片的真实数据,从用户特征和用户行为角度,对各类型电影的自身特征、受众特征以及受众对不同类型电影的情感偏好等方面进行分析与挖掘。

Audience characteristics are critical to film and each film genre has its own target audience.The focus of this paper is to extract the audience profiles of each film genre from the massive user behavior data,and to mine the user’s preference for different types of films from the user’s comment text.This paper is based on the text sentiment analysis algorithm,selecting the real data of the released films in recent years.From the perspective of user characteristics and user behavior,analyzing and mining the characteristics of each film genre,its audience characteristics and the audience’s emotional preferences.