A tweet grouping methodology utilizing inter and intra cosine similarity
Navneet Kaur, Craig M. Gelowitz · 2015
Twitter enables users to write and publish messages with a maximum of 140 characters. This is sometimes termed micro-blogging because individuals often use Twitter to communicate their thoughts, commentary or feelings about any given subject. Twitter's significant popularity and mass usage has resulted in any subject queried from the Twitter API that may return a vast number of tweets. These tweets can be related to several different categories. This paper proposes a hierarchical clustering system that groups tweets into meaningful clusters based on cosine similarity score.