MATEC Web Conf.
Volume 309, 20202019 International Conference on Computer Science Communication and Network Security (CSCNS2019)
|Number of page(s)||5|
|Section||Network Security and Software Design|
|Published online||04 March 2020|
Ranking chat logs for crime investigation
Jiangxi Police College, Nanchang, Jiangxi, China
* Corresponding author: firstname.lastname@example.org
Aiming at the needs of criminal investigators to quickly find chat logs related to crime case, a ranking method for chat texts has been proposed. First, query keywords were used to search chat texts, and the feedback texts were divided into relevant texts and irrelevant texts with manual annotation, then non-negative matrix factorization (NMF) was utilized to obtain the implicit semantic relationship of chat texts, finally chat logs could be ranked based on the scores calculated by similarity. Experiments show that the method proposed in this paper can quickly retrieve and get the messages of interest in a lot of chat logs, which can facilitate crime investigation.
Key words: Chat logs / Short text analysis / Query ranking / Non-negative matrix factorization / Crime investigation
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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