• V. Sathwika
• N. Venkateswaran
• Dr. R. Jegadeesan
• B. Sneha
• Dr.S.Prabaharan

Social media has experienced growth in today's life.The interactions have been grown between traditional media and social media.As,social media being an open source,users exchange unrelated content to achieve importance, that is in the form of likes. For instance,Twitter alone generates 500 million tweets per day,information overload exist,it is important to categorize both media and filter the noise.It is important to find relevant topics in social media.To know,how the influences are made inversely when compared to news media we proposed an unsupervised framework socirank i.e., ranking important topics in social media.The factors taken into consideration to achieve prevalence are,the temporal factors: Media focus (MF) which is important,the temporal factor in social media is user attention(UA) and strength of the group discussing about a topic is user interaction(UI).Based on how the nature of the event considered,volume of activity over time and procedure will affect the quality of filtered topics.This method is proposed to detect the spread of viral topics and also improves the passivity of automatically identified news topics.

social Media, Ranking, News Topics

"CLASSIFICATION OF PERSONALIZED NEWS TOPICS IN SOCIAL MEDIA USING SOCIRANK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.250-253, March-2019, Available :http://www.jetir.org/papers/JETIRAU06036.pdf

"CLASSIFICATION OF PERSONALIZED NEWS TOPICS IN SOCIAL MEDIA USING SOCIRANK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp250-253, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06036.pdf