Paper
3 February 2023 Querying specific message from chat logs of suspects based on keywords expansion
Wen Xiao, Wei Xu
Author Affiliations +
Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 1251105 (2023) https://doi.org/10.1117/12.2660080
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China
Abstract
During criminal investigations, chat logs on the suspect's mobile phone are an important information source for investigation. However, some clues involved in the case are hidden in many irrelevant chat messages. Case investigators can generally locate the specific information they need through keyword search, but at the initial stage, they may not be very clear about the specific keywords, which leads to missing some messages in the search results. Therefore, a query strategy based on keyword expansion is proposed in this paper. Firstly, the relevant documents are obtained by using the initial keywords, and the ratio of document frequency (rdf) is defined according to the frequency distribution of words in the documents. Then the values of rdf are sorted to get the expanded keywords, and finally, the weighted BM25 algorithm is used for further queries. Experiments show that the proposed method can improve the query results.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wen Xiao and Wei Xu "Querying specific message from chat logs of suspects based on keywords expansion", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 1251105 (3 February 2023); https://doi.org/10.1117/12.2660080
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KEYWORDS
Feature selection

Forensic science

Mining

Mobile communications

Scientific research

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