• Deepa R. Gawande

In today’s world everything available on the internet because of the digital era. With the fast development of web, peoples spent their most time on the internet. Recently, in social platforms new function introduced in which user may select one emotion out of many choices, to express their opinion more precisely. For this, tasks the social emotion mining technique is used. This is the most important and widely used in social platforms and businesses alike. In history, lots of work has been done of social emotion mining from author’s perspectives. Recent research focuses on reader’s emotions with news articles. In the existing system, Social Opinion Mining is developed which predict the reader’s emotions of news based on the social opinion network. The construction of opinion network based on the semantic distance between two words. In existing system model for analysis of news, the system does various comparisons which are time-consuming. Therefore, in proposed system we are going to develop an Intellectual Sentiment Analytic Model for the social opinion prediction. Due to Sentiment analysis, the Intellectual Sentiment Analytic Model reduced time to a large extent and effective results constructed as compared to the state of the art model.

Social Emotion Mining, Social opinion prediction, Preprocessing, Sentiment Analysis, Intellectual Sentiment Analytical model.

"ANALYTIC FRAMEWORK FOR SOCIAL OPINION PREDICTION OF ONLINE NEWS BASED ON SENTIMENT ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.950-955, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805577.pdf

"ANALYTIC FRAMEWORK FOR SOCIAL OPINION PREDICTION OF ONLINE NEWS BASED ON SENTIMENT ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp950-955, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805577.pdf