• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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A Collaborative Framework for Discovering the Organizational Structure of Social Networks Using NER Based on NLP


Frank I. Elijorde, Hyun-Ho Yang, Jae-Wan Lee, Journal of Internet Computing and Services, Vol. 13, No. 2, pp. 99-108, Apr. 2012
10.7472/jksii.2012.13.2.99, Full Text:  HTML
Keywords: Semantic web, Social Network Analysis, Natural Language Processing, Machine Learning

Abstract

Many methods had been developed to improve the accuracy of extracting information from a vast amount of data. This paper combined a number of natural language processing methods such as NER (named entity recognition), sentence extraction, and part of speech tagging to carry out text analysis. The data source is comprised of texts obtained from the web using a domain-specific data extraction agent. A framework for the extraction of information from unstructured data was developed using the aforementioned natural language processing methods. We simulated the performance of our work in the extraction and analysis of texts for the detection of organizational structures. Simulation shows that our study outperformed other NER classifiers such as MUC and CoNLL on information extraction.


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Cite this article
[APA Style]
Elijorde, F., Yang, H., & Lee, J. (2012). A Collaborative Framework for Discovering the Organizational Structure of Social Networks Using NER Based on NLP. Journal of Internet Computing and Services, 13(2), 99-108. DOI: 10.7472/jksii.2012.13.2.99.

[IEEE Style]
F. I. Elijorde, H. Yang, J. Lee, "A Collaborative Framework for Discovering the Organizational Structure of Social Networks Using NER Based on NLP," Journal of Internet Computing and Services, vol. 13, no. 2, pp. 99-108, 2012. DOI: 10.7472/jksii.2012.13.2.99.

[ACM Style]
Frank I. Elijorde, Hyun-Ho Yang, and Jae-Wan Lee. 2012. A Collaborative Framework for Discovering the Organizational Structure of Social Networks Using NER Based on NLP. Journal of Internet Computing and Services, 13, 2, (2012), 99-108. DOI: 10.7472/jksii.2012.13.2.99.