New technology to help predict popularity of hashtag compounds

If Twitter is one of the most effective tools in the hands of marketers today, the hashtag is a honing device, it is what adds that extra edge to the tool. And researchers at IIT Kharagpur and IIT Guwahati have just come up with a model that could optimize the use of this tool through early prediction of potential hashtag compounds.


The immense popularity of the hashtag has led to it being widely adopted in various other social media, including Facebook, Google Plus and the like. It has evolved into a language of its own, and in this diachronic process, perhaps the most common trait noticed is the compounding or coalescing of two or more individual hashtags to form a new hashtag.


So, for example, #Wikipedia and #Blackout come together to form #WikipediaBlackout; #Bihar and #Verdict and #2015 are joined to form #BiharVerdict2015. Clearly, because these lexemes are largely the creation of the individual user, the same event or news