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Recommending highlights in Anime movies: Mining the real-time user comments “DanMaKu”

机译：在动漫电影中推荐亮点：挖掘实时用户评论“Danmaku”

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DanMaKu is the real-time interactive comments showing overlay on a web video. Such DanMaKu websites are popular in Asia, especially in Japan and China. In this paper, an analysis of nine Japanese Anime movies based on DanMaKu counts will be presented. Highlight moments and key sentences of each movie are selected based on the analysis of DanMaKu counts. An experiment is designed to test the effect of the selected highlight moments and key sentences.

机译：Danmaku是在Web视频上显示叠加的实时交互评论。这样的丹马库网站在亚洲很受欢迎，特别是在日本和中国。本文将介绍基于Danmaku计数的九个日本动漫电影的分析。根据丹马库数的分析，选择每部电影的突出显示矩和关键句子。实验旨在测试所选突出时刻和关键句子的效果。

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《Intelligent Systems Conference》|2017年|608p|共4页
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Yifan He; Tiffany Y. Tang;
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中图分类 TP18-53;
关键词
Motion pictures; Twitter; Streaming media; Data processing; Real-time systems; Intelligent systems; Market research;

机译：电影;推特;流媒体;数据处理;实时系统;智能系统;市场研究;

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1. A Study to Determine the Impact of Movies on Travel Intention： Anime Movies and Japan Sample [J] . Hacl Mehmet Yildirim, Pinar Yalcinkaya, Oyku Coker, 旅游与酒店管理：英文版 . 2017,第005期

机译：确定电影对旅行意图的影响的研究：动漫电影和日本样本
2. Web mining based framework for solving usual problems in recommender systems. A case study for movies' recommendation [J] . Moreno Maria N., Segrera Saddys, Lopez Vivian F., Neurocomputing . 2016,第Feba2期

机译：基于Web挖掘的框架，用于解决推荐系统中的常见问题。电影推荐案例研究
3. A user opinion and metadata mining scheme for predicting box office performance of movies in the social network environment [J] . DAEHOON KIM, DAEYONG KIM, EENJUN HWANG, New Review of Hypermedia & Multimedia . 2013,第3a4期

机译：用户意见和元数据挖掘方案，用于预测社交网络环境中电影的票房表现
4. Recommending highlights in Anime movies: Mining the real-time user comments “DanMaKu” [C] . Yifan He, Tiffany Y. Tang 2017 Intelligent Systems Conference . 2017

机译：推荐动漫电影中的亮点：挖掘实时用户评论“ DanMaKu”
5. Mining and evaluating argumentative structures in user comments in eRulemaking. [D] . Park, Joonsuk. 2016

机译：在eRulemaking中的用户评论中挖掘和评估论证结构。
6. The Impact of COVID-19 on Consumers’ Psychological Behavior Based on Data Mining for Online User Comments in the Catering Industry in China [O] . Chenyu Zhang, Jiayue Jiang, Hong Jin, 2021

机译：Covid-19对消费者心理行为的影响基于数据挖掘在中国餐饮业中的在线用户评论
7. Mining users’ opinions based on item folksonomy and taxonomy for personalized recommender systems [O] . Liang Huizhi, Xu Yue, Li Yuefeng 2010

机译：基于项目民俗分类法和分类学挖掘用户意见，以用于个性化推荐系统

Recommending highlights in Anime movies: Mining the real-time user comments “DanMaKu”

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