There is a concerning rise of offensive language on the content generated by the crowd over
various social platforms. Such language might bully or hurt the feelings of an individual or a …

Feature engineering is a computationally time-consuming process in the end-to-end
machine learning pipeline. Large amounts of text data are being generated on many …

Paramount and vast applications such as social networks deal with big graphs. For this
reason, big graph analysis and processing is currently a necessity. Detection of connected …

Named Entity Recognition (NER) and Relation Extraction (RE) are two principal subtasks of
knowledge-based systems that extract meaningful information from unstructured text. With …

Generative artificial intelligence (GAI), which has the potential to revolutionize many
industries, including education, has emerged due to rapid artificial intelligence (AI) …

Abstract Analysis of publicly available human and drug trafficking crime data faces the
challenge of finding a comprehensive dataset that includes a sufficiently large number of …

Abstract The dehumanization of Black, Indigenous, people of color (BIPOC) and
marginalized communities does not end once an individual is released from an institution …

This research was aimed at combining individual natural language processing
methodologies into a consolidated model that takes in data in both audio and text format …

Temporal point processes (TPP) are mathematical approaches for modeling asynchronous
event sequences by considering the temporal dependency of each event on past events and …