2011년도 인터넷정보학회 추계학술발표대회
Current Result Document :
| 한글제목(Korean Title) |
A Collaborative Framework for Discovering the Organizational Structure of Social Networks Using NER Based on NLP |
| 영문제목(English Title) |
A Collaborative Framework for Discovering the Organizational Structure of Social Networks Using NER Based on NLP |
| 저자(Author) |
Frank I. Elijorde
Jung-sik Lee
Jaewan Lee
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| 원문수록처(Citation) |
VOL 12 NO. 02 PP. 0005 ~ 0006 (2011. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Many methods had been developed to improve the accuracy of extracting information from a vast amount of data sources. Taking advantage of the methods' capabilities, we further extended its use by applying with it a number of natural language processing tasks such as named entity recognition, sentence extraction, and part of speech tagging. Our proposed method obtains texts from the web using a domain-specific data extraction agent. The derived text will be passed to the entity recognition agent to identify interesting entities such as persons, places, and organizations. The resulting associations are then used to visualize the hidden structure within the processed text. In this paper, we propose a framework for the extraction of information from unstructured data sources using the aforementioned Natural Language Processing tasks. We also report on the utilization of established techniques and tools that combine extraction and analysis of texts in the detection of possible organizational structures.
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