• M . Prasanna kumari
• Dr. A. Suresh Babu

YouTube is the intrusting destination for viewing online vides for million content providers through the partner providers. YouTube provides content producers fabricate on crazy videos. Based on the features content creators like title, summary, and description these are the data meta level to promote the popularity of the video. On real world basis huge amount of available data contains YouTube, on sharing of sensitive data each other content providers base on the social data we expecting to sensitivity meta data levels of YouTube and feature social dynamics. we initialized study on YouTube meta data from large data sets of YouTube using machine learning methodology and meta level data sensitivity of video and view counts. it get the high important meta level feature including view count of video and title, Google hits and subscribers count and summery count of lower and upper case and sensitivity of letters of the video. In like manner, streamlining the meta-compose includes when a video is posted developments the notice ableness of documents. Known with materials, we find that there is a causal association between perspectives to a channel and also the related quantity of supporters. On this, we tend to taking a further parameter video to kind out associating the formally selected parameter for foreseeing the video standing through choosing use of selection tree estimation.

YouTube, Machine learning, decision tree, sensitivity ,causality , subscribers, meta level.

"ANALYZING THE POPULARITY OF YOUTUBE VIDEOS BY USING SENSITIVE META DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.939-945, March-2019, Available :http://www.jetir.org/papers/JETIR1903240.pdf

"ANALYZING THE POPULARITY OF YOUTUBE VIDEOS BY USING SENSITIVE META DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp939-945, March-2019, Available at : http://www.jetir.org/papers/JETIR1903240.pdf