• J.Uma
• Dr.K.Prabha

Content mining has moved toward becoming pole mainstream inquire about zone. It can manage AI utilizing content investigation. It contains unstructured content which enormous measure of data can't just strategy by preparing PC and information from unstructed content finished by content mining. Content mining manages numerous strategies just as from data recovery, data extraction and furthermore common language handling and associate with calculation and techniques for KDD, web index and data reterival have most explicit pursuit Query language. This exploration fields use information mining calculation, for example, grouping, bunching, associatioie rule. This paper contains, though commentator of content mining strategy devices, and different applications

Text mining, Data mining, Natural language process, Machine learning, social media.

"MACHINE LEARNING IN A TWITTER SENTIMENT ANALYSIS OF HEALTH CARE TWEET & USING BIG DATA FRAME WORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.151-155, June 2019, Available :http://www.jetir.org/papers/JETIRDC06026.pdf

"MACHINE LEARNING IN A TWITTER SENTIMENT ANALYSIS OF HEALTH CARE TWEET & USING BIG DATA FRAME WORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp151-155, June 2019, Available at : http://www.jetir.org/papers/JETIRDC06026.pdf