Cyberbullying detection in social networks: A comparison between machine learning and transfer learning approaches
Information and Communication Technologies fueled social networking and facilitated
communication. However, cyberbullying on the platform had detrimental ramifications. The …
communication. However, cyberbullying on the platform had detrimental ramifications. The …
Hybrid feature extraction for multi-label emotion classification in English text messages
Emotions are vital for identifying an individual's attitude and mental condition. Detecting and
classifying emotions in Natural Language Processing applications can improve Human …
classifying emotions in Natural Language Processing applications can improve Human …
[PDF][PDF] Topic Modeling for Scientific Articles: Exploring Optimal Hyperparameter Tuning in BERT.
Topic modeling has emerged as a successful approach to uncovering topics from textual
data. Various topic modeling techniques have been introduced, ranging from traditional …
data. Various topic modeling techniques have been introduced, ranging from traditional …
Fake News Detection with Retrieval Augmented Generative Artificial Intelligence
The rapid spread of false information on social media has grown to be a serious problem
that influences public opinion and decision-making. Fake news spreads rapidly and …
that influences public opinion and decision-making. Fake news spreads rapidly and …
Fine-Tuning of Distil-BERT for Continual Learning in Text Classification: An Experimental Analysis
Continual learning (CL) with bidirectional encoder representation from transformer (BERT)
and its variant Distil-BERT, have shown remarkable performance in various natural …
and its variant Distil-BERT, have shown remarkable performance in various natural …
Finite State Automata on Multi-Word Units for Efficient Text-Mining
Text mining is crucial for analyzing unstructured and semi-structured textual documents. This
paper introduces a fast and precise text mining method based on a finite automaton to …
paper introduces a fast and precise text mining method based on a finite automaton to …
Social media text analysis for disaster management using distilbert model
There is no doubt on the fact that disasters like floods, earthquakes and other man-made
ones have a destructive impact on human lives. Timely response is crucial to minimize the …
ones have a destructive impact on human lives. Timely response is crucial to minimize the …
A cultural computing of the share of modernity in world literary masterpieces by bie-modernism
Abstract Bie-modernist Cultural Computing (BCC) is a cultural computing guided by the
concept of Bie-modernism. It focuses on the distinction between real modernity and pseudo …
concept of Bie-modernism. It focuses on the distinction between real modernity and pseudo …
Biomedical Information Integration via Adaptive Large Language Model Construction
Integrating diverse biomedical knowledge information is essential to enhance the accuracy
and efficiency of medical diagnoses, facilitate personalized treatment plans, and ultimately …
and efficiency of medical diagnoses, facilitate personalized treatment plans, and ultimately …
HateBRXplain: A Benchmark Dataset with Human-Annotated Rationales for Explainable Hate Speech Detection in Brazilian Portuguese
Nowadays, hate speech technologies are surely relevant in Brazil. Nevertheless, the
inability of these technologies to provide reasons (rationales) for their decisions is the …
inability of these technologies to provide reasons (rationales) for their decisions is the …