Twitter Trends allows for a global or local view on “what’s happening in my world
right now” from a tweet producers’ point of view. In this paper, we explore a way
to complete Twitter Trends by having a closer look at the other side: the tweet
consumers’ point of view. While Twitter Trends works by analyzing the frequency of
terms and their velocity of appearance in tweets being written, our approach is
based on the popularity of extracted named entities in tweets being read.