Twitter is a microblogging tool that allow the creation of big data through short digital
contents. This study provides a survey of machine learning techniques for hate speech …

Natural language processing (NLP) based approaches have recently received attention for
legal systems of several countries. It is of interest to study the wide variety of legal systems …

This article presents a detailed analysis of Twitter data to inspect how information about the
COVID-19 epidemics spread in US. To this purpose, the objectives are to identify the key …

Machine learning (ML) prediction determinants based on open data (OD) are investigated in
this work, which is accomplished by examining current research trends over ten years …

We propose bidirectional imparting or BiImp, a generalized method for aligning embedding
dimensions with concepts during the embedding learning phase. While preserving the …

Abstract During the summer of 2019–2020, while Australia suffered unprecedented
bushfires across the country, false narratives regarding arson and limited backburning …

Microblogging platforms, of which Twitter is a representative example, are valuable
information sources for market screening and financial models. In them, users voluntarily …

Micro-blogging sources such as the Twitter social network provide valuable real-time data
for market prediction models. Investors' opinions in this network follow the fluctuations of the …

Research on the formation structure and characteristics of top-impact papers can serve as
the basis for the construction of social media-based information communication pattern, and …

Cold-start link prediction has attracted much attention as a sub-problem of link prediction
recently. However, due to the influence of some isolated nodes existing in the network, the …