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Social Network Extraction: Superficial Method and Information Retrieval
January 12, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Mahyuddin K. M. Nasution, Shahrul Azman Mohd. Noah, Saidah Saad
arXiv ID
1601.02904
Category
cs.IR: Information Retrieval
Cross-listed
cs.SI
Citations
26
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Social network has become one of the themes of government issues, mainly dealing with the chaos. The use of web is steadily gaining ground in these issues. However, most of the web documents are unstructured and lack of semantic. In this paper we proposed an Information Retrieval driven method for dealing with heterogeneity of features in the web. The proposed solution is to compare some approaches have shown the capacity to extract social relation: strength relations and relations based on online academic database.
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