DocumentCode :
3509396
Title :
Estimating Feature Terms for Supporting Exploratory Browsing of Twitter Timelines
Author :
Itokawa, Shota ; Shiramatsu, Shun ; Ozono, Tadachika ; Shintani, Taizo
Author_Institution :
Dept. of Comput. Sci. & Eng., Nagoya Inst. of Technol., Nagoya, Japan
fYear :
2013
fDate :
Aug. 31 2013-Sept. 4 2013
Firstpage :
62
Lastpage :
67
Abstract :
In recent years, use of the social networking/micro-blogging service Twitter has spread widely. Twitter users constantly post tweets and connect with an often huge number of other users. We need to optimize viewing a lot of tweets. For users who browse infrequently, many unread tweets appear on their timeline, making it difficult to view. It is also difficult to search the timeline for past tweets using the existing system. To solve these problems, we propose a system that supports exploratory browsing of Twitter timelines. The key element of the proposed system is that it presents feature terms from a specific time period, which enables users to see a relevant overview of their Twitter timelines. The experimental results show that our system can effectively extract feature terms from Twitter timelines within specific time periods.
Keywords :
feature extraction; information retrieval; social networking (online); Twitter timelines; exploratory browsing; feature term estimation; feature term extraction; microblogging service; social networking; Accuracy; Data mining; Feature extraction; Missiles; Nominations and elections; Schedules; Twitter; Twitter; exploratory searching; feature term extraction; natural language processing; user interface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Applied Informatics (IIAIAAI), 2013 IIAI International Conference on
Conference_Location :
Los Alamitos, CA
Print_ISBN :
978-1-4799-2134-8
Type :
conf
DOI :
10.1109/IIAI-AAI.2013.26
Filename :
6630318
Link To Document :
بازگشت