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The programme can facilitate Twitter analysts gain higher insight into human behaviour related to trends and events.
“Trends on Twitter square measure nearly always related to hashtags that solely offers you a part of the story,” aforesaid Sean Goggins, associate professor at school of data science and learning technologies at University of Missouri (MU).
When associatealysing tweets that square measure connected to an action or event, probing for specific words at the start of the tweets offers US a more robust indication of what's occurring, instead of solely viewing hashtags,” he commented.
Trending topics on the social media platform Twitter show the amount of tweets related to a selected event.
However, trends solely show the best volume keywords and will not offer qualitative info regarding the tweets themselves.
Using knowledge related to the Super Bowl and playoff, researchers developed a package that analyses tweets supported the words found inside the tweets.
By programming a bag of words or tags they felt would be related to the Super Bowl and playoff, the package analysed the words and their placement inside the one hundred forty character tweets.
“The package is in a position to find a lot of nuanced occurrences inside the tweet,” accessorial Ian Graves from school of engineering at letter of the alphabet.
This methodology will facilitate authorities investigate the causes of major events just like the Hub of the Universe bombing or to assist predict future events, complete the study that was revealed within the journal New Media and Strategy.
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