Abstract: While Twitter, micro blog service based on short messages, is important online communication media, it is increasingly important to detect and track issues through Twitter analysis. For Twitter analysis, various features including contents, time, retweets and follower relations of Twitter are used, and Twitter analysis results are visualized by using tag clouds, tree maps or time series graphs. This study aims to suggest the modelling of a trend analysis system and service for Twitter analysis results related to a specific subject to the user. The components of system architecture include data collection, data streamer, trend analysis, topic keyword extractor, language pre-processor. The proposed service is designed for presenting Twitter analysis results effectively by using selected information when a user selects the period and keywords of interest after presenting a keyword list related to a specific subject to the user.
Keywords: Trend Analysis, Twitter Monitoring, Trend Tracking, Twitter.
Title: The Trend Analysis Service Using Twitter
Author: Pyung Kim
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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