Before revision:  Considering the dynamic nature and high volume of data production in  data streams, it is impractical to filter the events manually . Therefore, it is important to have an automated mechanism to detect events in order to utilise social media data effectively. Analysing the available literature, most of the existing event detection methods are only focused on statistical and syntactical features in data , even though the underlying semantics are also important for an effective information retrieval from text , because they describe the connections between words and their meanings.
After revision:  Considering the dynamic nature and high volume of data production in data streams, it is impractical to filter the events manually and therefore, automated event detection mechanisms are invaluable to the community. Apart from a few notable exceptions, most previous research on automated event detection have focused only on statistical and syntactical features in data , even though the underlying semantics are also important for an effective information retrieval from text , because they describe the connections between words and their meanings.