Ruemo—the classification framework for russia-ukraine war-related societal emotions on twitter through machine learning
The beginning of this decade brought utter international chaos with the COVID-19 pandemic
and the Russia-Ukraine war (RUW). The ongoing war has been building pressure across …
and the Russia-Ukraine war (RUW). The ongoing war has been building pressure across …
Sentiment analysis for cruises in Saudi Arabia on social media platforms using machine learning algorithms
Social media has great importance in the community for discussing many events and
sharing them with others. The primary goal of this research is to study the quality of the …
sharing them with others. The primary goal of this research is to study the quality of the …
Knowledge mining and social dangerousness assessment in criminal justice: metaheuristic integration of machine learning and graph-based inference
One of the main challenges for computational legal research is drawing up innovative
heuristics to derive actionable knowledge from legal documents. While a large part of the …
heuristics to derive actionable knowledge from legal documents. While a large part of the …
A machine learning-based approach to identify unlawful practices in online terms of service: analysis, implementation and evaluation
Abstract Terms of Service (ToS) are fundamental factors in the creation of physical as well as
online legally relevant relationships. They not only define mutual rights and obligations but …
online legally relevant relationships. They not only define mutual rights and obligations but …
Techno-regulation and intelligent safeguards: Analysis of touch gestures for online child protection
The growth of Internet and the pervasiveness of ICT have led to a radical change in social
relationships. One of the drawbacks of this change is the exposure of individuals to threats …
relationships. One of the drawbacks of this change is the exposure of individuals to threats …
[PDF][PDF] Detecting Collaboration Profiles in Success-based Music Genre Networks.
We analyze and identify collaboration profiles in successbased music genre networks. Such
networks are built upon data recently collected from both global and regional Spotify weekly …
networks are built upon data recently collected from both global and regional Spotify weekly …
Hybrid and lightweight detection of third party tracking: Design, implementation, and evaluation
A common practice for websites is to rely on services provided by third party sites to track
users and provide personalized experiences. Unfortunately, this practice has strong …
users and provide personalized experiences. Unfortunately, this practice has strong …
AlBERTino for stock price prediction: a Gibbs sampling approach
Abstract BERT (Bidirectional Encoder Representations from Transformers) is one of the most
popular models in Natural Language Processing (NLP) for Sentiment Analysis. The main …
popular models in Natural Language Processing (NLP) for Sentiment Analysis. The main …
Hit song science: a comprehensive survey and research directions
Hit Song Science (HSS) is an emerging topic that aims to unveil the success dynamics
within the music industry. Considering the growth of the area, we provide a comprehensive …
within the music industry. Considering the growth of the area, we provide a comprehensive …
BERT's sentiment score for portfolio optimization: a fine-tuned view in Black and Litterman model
In financial markets, sentiment analysis on natural language sentences can improve
forecasting. Many investors rely on information extracted from newspapers or their feelings …
forecasting. Many investors rely on information extracted from newspapers or their feelings …