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keywords. We analyze a sample of 306,163 tweets posted by 91,557 users with the aim of identifying tweets and those categories formed around temporally similar topics. We systematically examined the data to track and analyze the online activity around users tweeting about popular science. In addition, we identify locations of
and phishers use specific keywords to entice a twitter to click on a link. This link could lead them to a malicious web form. A phishing or spam message has both words and a URL. Twitter is also limited to 140 characters per message. This makes the words used in the message much more important. Bayesian is a popular spam
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.