TweerAnalyzer: Twitter Trend Detection and Visualization

Twitter can be identified as one of the largest social networking sites. A large number of users have accepted Twitter as a universal platform for spreading news, sharing articles and socializing with other people globally. Subsequently, such a high-volume, high-velocity surge of Twitter data generated at each second have the potential of being utilized for significant analytical and interpretation purposes. The objective of this paper is to demonstrate an easy and simple solution, called TweetAnalyzer. We propose a system to extract real-time Twitter data and to represent the trending Twitter hashtags and active users on a bar graph. TweetAnalyzer also makes use of the user's current location coordinates to represent the tweets on a world map. The proposed system can be easily deployed and used for various real-world applications such as job search, news updates, and business intelligence.