With the advent of social media like Twitter, Facebook, Instagram it has been easier for people to voice their opinions, thoughts to a wider audience in a concise manner. Twitter has been increasingly used by organizations to address customer reviews, complaints and feedback. Many users resort to using social media for immediate response to their queries. But due to exceedingly large amount of data it becomes difficult for organizations to respond to every customer query or complaint. Some of these complaints might be urgent queries demanding immediate attention which due to vast data would be responded late. The proposed system uses Machine learning algorithm-Naïve Bayes to classify the tweets based on their urgency in order to respond to emergency tweets on a priority.
Article Details
Unique Paper ID: 154480
Publication Volume & Issue: Volume 8, Issue 11
Page(s): 312 - 316
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