NLP and ontology based clustering—An integrated approach for optimal information extraction from social web

S Dhuria, H Taneja, K Taneja - 2016 3rd international …, 2016 - ieeexplore.ieee.org
Social Web is a heterogeneous collection of both structured and unstructured dataprimarily
composed of contents from various social networking sites, blogs, online shopping sites and …

An overview of social semantic web framework

U Yadav, GS Narula, N Duhan… - 2016 3rd International …, 2016 - ieeexplore.ieee.org
Social Web is growing enormously as it made easy for people to publish online. Published
information should be semantically annotated and structured so as to be useful for …

Novel approach of mining methods for social network sites

A Sharma, MK Sharma… - … System Modeling & …, 2016 - ieeexplore.ieee.org
Prime intends of web mining is to mine valuable information and knowledge from web.
Social network analysis has become a very well-liked field of research as it is functional for …

Comparative analysis of K-Means with other clustering algorithms to improve search result

S Mehrotra, S Kohli - … on Green Computing and Internet of …, 2015 - ieeexplore.ieee.org
The paper identifies the scope of improvement for the search result of a web site. The study
includes some commonly used clustering algorithms to identify the usage of clustering …

[PDF][PDF] Clustering on social web

T Kuzár - Information Sciences and Technologies Bulletin of the …, 2013 - Citeseer
Social web increases its potential rapidly. Growing number of involved users leads to
significant increase in amount of user-generated content. End users have great opportunity …

Multi-level K-means text clustering technique for topic identification for competitor intelligence

S Chakraborti, S Dey - 2016 IEEE Tenth International …, 2016 - ieeexplore.ieee.org
Proliferation of web as an easily accessible information resource has led many corporations
to gather competitor intelligence from the internet. While collection of such information is …

Clustered and smarter web mining using semantic web

SM Galib, MM Rahman, A Shah… - 2015 18th International …, 2015 - ieeexplore.ieee.org
Semantic Web which is an extension to the current web 2.0 presents information more
magnificently for humans and automated tools as well. It offers an intelligent web service that …

Content extraction issues in online web education

KB Prakash, KS Kumar… - 2016 2nd International …, 2016 - ieeexplore.ieee.org
Internet and search engines are increasing its prominence in modern day life. Search
engines like Google, Bing and Yahoo are perhaps the largest source of information that …

Review of web document clustering algorithms

SK Sahu, S Srivastava - 2016 3rd international conference on …, 2016 - ieeexplore.ieee.org
Users of search engines are fond of accurate and fast results. Web is now overloaded with
lots of pages or documents dealing with same topic. Thus they are often forced to surf …

Social semantic retrieval and ranking of eResources

P Bedi, H Banati, A Thukral - 2010 International Conference on …, 2010 - ieeexplore.ieee.org
World Wide Web provides a huge collection of learning resources. However, as traditional
retrieval algorithms lack the use of semantics to retrieve relevant documents, voluminous …