Social network extraction: Superficial method and information retrieval
arXiv preprint arXiv:1601.02904, 2016•arxiv.org
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.
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.
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.
arxiv.org
以上显示的是最相近的搜索结果。 查看全部搜索结果