Shallow Parsing for Recognizing Threats in Dutch Tweets

被引：0
|
作者：
Oostdijk, Nelleke [1 ]
van Halteren, Hans [1 ]
机构：
[1] Radboud Univ Nijmegen, CLST, Dept Linguist, CLS, NL-6525 ED Nijmegen, Netherlands
来源：
2013 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM) | 2013年
关键词：
Threats; social media; Twitter; Dutch; handcrafted rules;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we investigate the recognition of threats in Dutch tweets. As tweets often display irregular grammatical form and deviant orthography, analysis by standard means is problematic. Therefore, we have implemented a new shallow parsing mechanism which is driven by handcrafted rules. Experimental results are encouraging, with an F-measure of about 40% on a random sample of Dutch tweets. Moreover, the error analysis shows some clear avenues for further improvement.
引用
收藏
页码：1034 / 1041
页数：8
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