Towards Named Entity Recognition Method for Microtexts in Online Social Networks: a Case Study of Twitter

被引：2

作者：

Jung, Jason J. ^{[1
]}

机构：

[1] Yeunnam Univ, Dept Comp Engn, Knowledge Engn Lab, Gyongsan, South Korea

来源：

2011 INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2011) | 2011年

关键词：

Named entity recognition; Social networks; Network analysis; Multiplex social network;

D O I：

10.1109/ASONAM.2011.39

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Given a certain question, named entity recognition (NER) methods can be an efficient strategy to extract relevant answers. The goal of this work is to extend NER methods for analyzing a set of microtexts, which are short text on online social media. To do so, we propose two contextual closure properties to discover contextual clusters of microtexts, which can be expected to improve the performance of NER tasks. Experimental results demonstrate the feasibility of the proposed method for extracting relevant information in online social network applications.

引用

页码：563 / 564

页数：2

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