User Oriented clustering of news articles using Tweets Heterogeneous Information Network
트위트 이형 정보 망을 이용한 뉴스 기사의 사용자 지향적 클러스터링

Muhammad Shoaib, Wang-Cheol Song
2013 Journal of Internet Computing and services  
With the emergence of world wide web, in particular web 2.0 the rapidly growing amount of news articles has created a problem for users in selection of news articles according to their requirements. To overcome this problem different clustering mechanism has been proposed to broadly categorize news articles. However these techniques are totally machine oriented techniques and lack users' participation in the process of decision making for membership of clustering. In order to overcome the issue
more » ... of zero-participation in the process of clustering news articles in this paper we have proposed a framework for clustering news articles by combining users' judgments that they post on twitter with the news articles to cluster the objects. We have employed twitter hash-tags for this purpose. Furthermore we have computed the credibility of users' based on frequency of retweets for their tweets in order to enhance the accuracy of the clustering membership function. In order to test performance of proposed methodology, we performed experiments on tweets messages tweeted during general election 2013 in Pakistan. Our results proved over claim that using users' output better outcome can be achieved then ordinary clustering algorithms.
doi:10.7472/jksii.2013.14.6.85 fatcat:a7pg45tfjjb5hkb655njiy4kbi