… Data collection is the first step in any research project in text mining. Data collection for the
study of cybercrime needs to focus primarily on capturing data from chat rooms and social …

… The paper is organized as following: in section II, we present an over view about cybercrime
profiling. In section III, we present related works for methods to detect the meaning of …

… Considering these factors, an effective text mining approach using machine learning algorithms
is proposed to proactively detect bullying text. The dataset collected from myspace.com …

… To evaluate the effectiveness of the proposed latent text mining model, we crawled the
cybercrime related messages from Twitter and blogs. We manually identified a group of 20 …

… against traditional threats, but cybercrime involves personnel who are able to launch … is
text mining, defined as the process of extracting knowledge from textual data [86]. Text mining …

… for crime investigation using data mining and Natural Language … in a joint effort with the
cybercrime unit of a Canadian law … WordNet is specifically designed for text mining and artificial …

… substantial rates of cybercrime victimization. … cybercrime. The aim of this study was to
estimate the number of police registrations referring to cybercrime in the Netherlands based on text …

… police’s efforts to combat cybercrime, we made use of two rather novel tools to identify
cybercrime: text mining and machine learning. Text mining is a specific application within natural …

… social protest and is considered a cybercrime, as it may be part … in the prevention of
cybercrimes, helping profile suspects … , for the detection and prevention of cybercrimes. Then, the …

… text mining techniques, we can detect and predict criminal activities by extracting interesting
information from unstructured text … since it uses text mining algorithm to continuously check …