earticle

영어

Twitter that represents the social network makes it available to retweet the tweet that other users have written without restriction. Therefore, information can be conveniently delivered on a real-time basis. Thanks to such an advantage, studies that utilize twitter are recently being developed. This paper is intended to establish data base based on BBC News Twitter on a daily basis making a daily tweet as a token according to gap and moving to a phase of reprocessing that removes the stopwords. Each word that is created and retweeted after a phase of reprocessing is applied to calculate the total added retweet value, dividing them by the number of daily average retweet to derive topic weight value. This procedure is called ‘Topic Weight Measurement.’ This way, the topics are extracted. After analyzing the pattern according to the date, topics that are extracted using proposed procedures are compared with frequency pattern that are provided by Google Trends. As a result, it was confirmed that topics provided by BBC News Twitter is similar with word searching pattern graph of Google Trends