Natural language processing in “Bullet Screen” application

2017 International Conference on Service Systems and Service Management Pub Date : 2017-06-16 DOI:10.1109/ICSSSM.2017.7996219

Xue-Qian Yang, Wang Binglu, Huang Junjie, Liu Shuwen

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引用次数: 10

Abstract

The main purpose of nature language processing is to process, understand, and apply all kinds of human beings' languages in written or oral forms. In recent years, “Bullet Screen”, which allows viewers to post bullet-like, real-time comments on screen during their watching films, is an emerging craze in online video sites, especially in China and Japan, mainly popular among young people for their social interactivities. Meanwhile, since “Bullet Screen” can be regarded as a novel type of natural language, processing, restoring, and organizing them play an important role in providing retrieval platforms for users so as to help them find out highlights from oceans of videos. Taking Bilibili, a Chinese video website, as example, this paper comes up with a new algorithm called Integrated Sort for “Bullet Screen” (ISB) base on BM25 in order to put “Bullet Screen” processing into practice. Empirical study shows that ISB based on BM25 can anatomize “Bullet Screen” language and mine more details about audio as well as video information. Besides, an interactive platform about “Bullet Screen” could enormously refine viewers' lives of entertainments.

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“弹幕”应用中的自然语言处理

自然语言处理的主要目的是对人类的各种书面或口头语言进行处理、理解和应用。近年来，“弹幕”是在线视频网站上的一种新兴热潮，尤其是在中国和日本，主要受年轻人的社交活动欢迎。“弹幕”允许观众在观看电影时在屏幕上发表类似子弹的实时评论。同时，“弹幕”作为一种新型的自然语言，对其进行处理、还原、组织，为用户提供检索平台，帮助用户从海量视频中发现亮点，发挥着重要作用。本文以中国视频网站Bilibili为例，提出了一种基于BM25的“弹幕”综合排序算法(Integrated Sort for“Bullet Screen”，简称ISB)，以实现对“弹幕”的处理。实证研究表明，基于BM25的ISB可以对“弹幕”语言进行解剖，挖掘出更多的音视频信息细节。此外，一个关于“弹幕”的互动平台可以极大地改善观众的娱乐生活。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 International Conference on Service Systems and Service Management

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