An Artificial Intelligence approach to Social Networks agent task scheduling analysis in map-reduce for Sentiment Opinion Analysis

摘要

Now a day's everyone widely used social networks; it is one part of our daily life activity. In this way, the user can upload and view their profiles text messages, images and video etc. In the way, user can communicate either individual or group in their existing regions and post updated information to circulate all other followers or guest users like working the same as social networks sites. This research work, we propose a novel algorithm to analyze existing resources and predict sentiment analysis and prediction along with this user expectation. These results will be useful in Applied Economics, Expert Systems, Human Brain Analysis, Voting, Stock markets, Live updates on every field, unknown object identifications Etc.