217 documents found, page 1 of 22

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Unpacking online hate speech in Portuguese social media: A social-psychological...

Guerra, R.; Carvalho, P.; Marques, C.; Carmona, M.; Sarroeira, R.; Batista, F.; Ribeiro, R.; Fonseca, A.; Moro, S.; Silva, C.

Building on social psychology and language sciences, this research identified core social psychological, and linguistic-discursive features of online hate speech targeting racialized, migrant and LGBTI+ communities in two social media platforms in Portugal: YouTube, and Twitter/X. The research was based on the analysis of two annotated corpora comprising 24,739 YouTube comments and associated replies, and 29,75...

Date: 2025   |   Origin: Repositório ISCTE

SA-MAIS: Hybrid automatic sentiment analyser for stock market

Taborda, B.; Almeida, A. M. de.; Dias, J. C.; Batista, F.; Ribeiro, R.

Sentiment analysis of stock-related tweets is a challenging task, not only due to the specificity of the domain but also because of the short nature of the texts. This work proposes SA-MAIS, a two-step lightweight methodology, specially adapted to perform sentiment analysis in domain-constrained short-text messages. To tackle the issue of domain specificity, based on word frequency, the most relevant words are ...

Date: 2025   |   Origin: Repositório ISCTE

Mining population opinion about local police

Matos, K.; Ribeiro, R.; Ferreira, J. C.

Sentiment analysis, or opinion mining, is an important task of natural language processing (NLP) that extracts opinions, attitudes, and emotions from text. With the growth of digital platforms like blogs and social networks, opinion mining has become a key tool for organizations to understand public sentiment. In recent research, machine learning and lexicon-based approaches have been applied to analyze sentime...

Date: 2025   |   Origin: Repositório ISCTE

Balancing business, IT, and human capital: RPA integration and governance dynamics

Brás, J. C.; Pereira, R. F.; Melo, M.; Bianchi, I. S.; Ribeiro, R.

In the era of rapid technological progress, Robotic Process Automation (RPA) has emerged as a pivotal tool across professional domains. Organizations pursue automation to boost efficiency and productivity, control costs, and reduce errors. RPA software automates repetitive, rules-based tasks previously performed by employees, and its effectiveness depends on integration across the business–IT–people interface. ...

Date: 2025   |   Origin: Repositório ISCTE

From host's descriptions to guests' reviews: Semantic similarities

Cavique, M.; Ribeiro, R.; Batista, F.; Correia, A.

This study investigates the semantic alignment between Airbnb property descriptions and guest reviews. Word2Vec embeddings and affinity propagation clustering are used to identify granular semantic concepts, enabling a detailed comparison of the two text types. A new metric, concept coverage ratio, is introduced to measure the extent to which the guest review content is reflected in property descriptions. Resul...

Date: 2025   |   Origin: Repositório ISCTE

Advances in auditing and business continuity: A study in financial companies

Brás, J. C.; Pereira, R. F.; Fonseca, M.; Ribeiro, R.; Bianchi, I. S.

This paper delves into the integration of Intelligent Process Automation within the domain of business continuity auditing, with a focus on the Portuguese banking sector. In an era marked by rapid technological advancement, organizations are increasingly leveraging automation to reinforce operational efficiency and realize substantial cost savings. Concurrently, auditors play a pivotal role in ensuring seamless...

Date: 2024   |   Origin: Repositório ISCTE

Leveraging transfer learning for hate speech detection in Portuguese social med...

Ramos, G.; Batista, F.; Ribeiro, R.; Fialho, P.; Moro, S.; Fonseca, A.; Guerra, R.; Carvalho, P.; Marques, C.; Silva, C.

The rapid rise of social media has brought about new ways of digital communication, along with a worrying increase in online hate speech (HS), which, in turn, has led researchers to develop several Natural Language Processing methods for its detection. Although significant strides have been made in automating HS detection, research focusing on the European Portuguese language remains scarce (as it happens in se...

Date: 2024   |   Origin: Repositório ISCTE

A comprehensive review on automatic hate speech detection in the age of the tra...

Ramos, G.; Batista, F.; Ribeiro, R.; Fialho, P.; Moro, S.; Fonseca, A.; Guerra, R.; Carvalho, P.; Marques, C.; Silva, C.

The rapid proliferation of hate speech on social media poses significant challenges to maintaining a safe and inclusive digital environment. This paper presents a comprehensive review of automatic hate speech detection methods, with a particular focus on the evolution of approaches from traditional machine learning and deep learning models to the more advanced Transformer-based architectures. We systematically ...

Date: 2024   |   Origin: Repositório ISCTE

Long COVID-19 fatigue and obstructive sleep apnea: is there a relation?

Pires, L.; Ribeiro, R.; Belchior, I.; Saraiva, C.; Fatal, T.; Guimarães, M. J.; Moniri, Armin; Drummond, M.

Fatigue has been reported as the most frequent long COVID-19 symptom. There is a physiological plausibility for relation be tween OSA and long-COVID-19 fatigue, by Intermittent nocturnal hypox emia, endothelial dysfunction, oxidative stress and low grade systemic inflammation. OSA activates the renin-angiotensin-aldosterone system (RAAS) and angiotensin-converting enzyme 2 (ACE2), which is the entry receptor fo...


Analyzing hate speech dynamics on Twitter/X: Insights from conversational data ...

Fonseca, A.; Pontes, C.; Moro, S.; Batista, F.; Ribeiro, R.; Guerra, R.; Carvalho, P.; Marques, C.; Silva, C.

This paper investigates the pervasive issue of hate speech within Twitter/X Portuguese network conversations, offering a multifaceted analysis of its characteristics. This study utilizes a mixed-method approach, combining several methodologies of network analysis (triad census and participation shifts) over the network of interaction between users. Qualitative manual content annotation was applied to the datase...

Date: 2024   |   Origin: Repositório ISCTE

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