Volume 12 - Volume 12
Text Analytics on Leadership from Social Media Network – Twitter
Abstract
Text analytics are typically aimed toward extracting helpful data from the immense array of unstructured, free format text documents that are created by the majority structure processes. The success of any text mining application rests on the standard of the underlying information being analyzed, as well as each prognostic options and outcome labels. Text analytics or text mining is that the method of determinant and collection high-quality data from unstructured text like a mass of Twitter posts, a set of scientific papers, or edifice reviews, looking on the main focus of the organization conducting the analysis. Our analysis is meant to investigate the unstructured information exploitation text mining on the characteristics on leadership. This study used secondary information to seek out the key words that has a control on leadership exploitation using text analytics.
Paper Details
PaperID: RG22002
Author's Name: Dr.M.N. Aravinda Reddy
Volume: Volume 12
Issues: Volume 12
Keywords: Text Mining, Text Analytics, Sentiment Analytics, Leadership, Twitter.
Year: 2022
Month: June
Pages: 15-24