DETECTING, RANKING AND DOMAIN WISE SORTING OF NEWS ON SOCIAL MEDIA

Authors

  • Komal Mahamun Computer Engineering, Pune university
  • Aishwarya Kadam Computer Engineering, Pune university
  • Shrutika Deokar Computer Engineering, Pune university
  • Prof. Kavita Jadhav Computer Engineering, Pune university

Keywords:

Disseminating news, User Interest, User interaction, Mass Identification, relevance factor, news, social computing, analysis of social network, topic ranking

Abstract

Now a day’s many people are using social Media for getting information. For example Twitter is providing huge amount of user generated data, which have great importance to contain news-related content. So for finding news related data first of all we need to remove or filter noise from the all data. After removing the noise there can be the data which is not related news. So we again we need to use data prioritization. For data prioritization we are going to use MF, UA and UI as factors. After detecting news related data we are going to rank that news using MF,UA and UI as well as we will categorize all the news location wise using comments or reviews. We are going to use Twitter data set for performing all this operations.

Downloads

Published

2018-12-19

How to Cite

Mahamun, K. ., Kadam, A. ., Deokar, S. ., & Jadhav, P. K. . (2018). DETECTING, RANKING AND DOMAIN WISE SORTING OF NEWS ON SOCIAL MEDIA. International Journal of Technical Innovation in Modern Engineering & Science, 4(12), 223–225. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/165

Issue

Vol. 4 No. 12 (2018): Vol. 4 No. 12: Volume 4 Issue 12 (December-2018)

Section

Articles