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Finding Dutch natives in online forums

Forensic Sciences Research 2018年第3期3卷 230-239页

作者： Bernard van den Boom cor j.veenman Leiden University Leiden Institute of Advanced Computer Science(LIACS)LeidenThe Netherlands Netherlands Forensic Institute The HagueThe Netherlands TNO The HagueThe Netherlands

Law enforcement agencies have a restricted area in which their powers apply,which is called their *** restrictions also apply to the ***,on the Internet,the physical borders of the jurisdiction,typically country borders,are hard to *** our case,it is hard to establish whether someone involved in criminal online behavior is indeed a Dutch *** propose a way to overcome the arduous task of manually investigating whether a user on an Internet forum is Dutch or *** precisely,we aim to detect that a given English text is written by a Dutch native *** develop a detector,we follow a machine learning ***,we need to prepare a specific training *** obtain a corpus that is representative for online forums,we collected a large amount of English forum posts from Dutch and non-Dutch authors on *** learn a detection model,we used a bag-of-words representation to capture potential misspellings,grammatical errors or unusual turns of phrases that are characteristic of the mother tongue of the *** this learning task,we compare the linear support vector machine and regularized logistic regression using the appropriate performance metrics f1 score,precision,and average *** results show logistic regression with frequency-based feature selection performs best at predicting Dutch *** study should be directed to the general applicability of the results that is to find out if the developed models are applicable to other forums with comparable high performance.

关键词： Forensic data science text mining author profiling corpus creation big data open source intelligence native language verification

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