TOTEM: Personal Tweets Summarization on Mobile Devices

被引:5
作者
Chin, Jin Yao [1 ]
Bhowmick, Sourav S. [1 ]
Jatowt, Adam [2 ]
机构
[1] Nanyang Technol Univ, Singapore, Singapore
[2] Kyoto Univ, Kyoto, Japan
来源
SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL | 2017年
关键词
D O I
10.1145/3077136.3084138
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Tweets summarization aims to find a group of representative tweets for a specific topic. In recent times, there have been several research efforts toward devising a variety of techniques to summarize tweets in Twitter. However, these techniques are either not personal (i.e., consider only tweets in the timeline of a specific user) or are too expensive to be realized on a mobile device. Given that 80% of active Twitter users access the site on mobile devices, in this demonstration we present a lightweight, personalized, on-demand, topic modeling-based tweets summarization engine called TOTEM, designed for such devices. Specifically, TOTEM summarizes most recent tweets on a user's timeline and enables her to visualize and navigate representative topics and associated tweets in a user-friendly tap-and-swipe manner.
引用
收藏
页码:1305 / 1308
页数:4
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