AN ATTEMPT TO VISUALISING TWITTER DATA FOR ANALYSIS

Abstract

Social media is attracting so many people from different demographics. Facebook, YouTube, TikTok, WhatsApp, Instagram, and LinkedIn are some of those. Each one has some similarities as well as some differences. Twitter is one of the most popular social media platforms. It was publicly launched to be used for micro-blogging in 2006. Originally, it was limited to a maximum of 140 characters. It extended its usage capacity and became one of the most highly used social media platforms. Twitter users reached around 401 million by 2022. According to statistics, the number of daily tweets shared on Twitter is 500 million. The contents of shared tweets are so valuable for data analytic since they provide information about such as users' social lives, feelings, political opinions, and social environment. In this study, it is intended to introduce a visualization platform for Twitter data to provide better analysis. By using this tool, it will be possible to have a better understanding of the big data produced by Twitter posts. Analysis of all of the actions of Twitter such as hashtags and retweets is visualized. The visualization tool will also enable the reflection of the social network for targeted users and their followings and followers.

Keywords

• Twitter
• Big data
• Data visualization
• Social media analysis.

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