Public opinion on microblogging sites, such as Twitter, is randomly distributed, so data mining such information offers many technical challenges. Writing in the International Journal of Autonomous and Adaptive Communications Systems, a team from China has now used a multi-visual clustering model to underpin a new algorithm to help them extract opinion from microblogging sites.
from News on Artificial Intelligence and Machine Learning https://ift.tt/345s9N2
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