A huge amount of data is generated daily leading to big data challenges. One of them is
related to text mining, especially text classification. To perform this task we usually need a …

Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

The rapid proliferation of complex information systems has been met by an ever-increasing
quantity of exploits that can cause irreparable cyber breaches. To mitigate these cyber …

In this paper we describe a deep learning model based on a Convolutional Neural Network
(CNN). The model was developed for the Profiling Hate Speech Spreaders (HSSs) task …

With an increased focus on social well‐being in response to a burgeoning global economy
exposing the weaknesses of social welfare policies, research output in the field has grown …

针对粒子群优化(Particle Swarm Optimization, PSO) 算法在维度高, 特征稀疏的文本聚类过程
中, 随着算法迭代次数增加在后期陷入局部最优的问题, 提出采用多样性更好的差分进化 …

Due to the ever-increasing threat of cyber-attacks to critical cyber infrastructure,
organizations are focusing on building their cybersecurity knowledge base. A salient list of …

Online social platforms have become omnipresent. While these environments are beneficial
for sharing messages, ideas, or information of any kind, they also expose cyber-bullying …

Text classification is a technique that automatically classifies and labels text according to
certain rules, and is widely used in sentiment analysis, intelligent recommendation systems …

Information and Communication Technologies fueled social networking and facilitated
communication. However, cyberbullying on the platform had detrimental ramifications. The …