25 documents found, page 1 of 3

Towards cyberbullying detection : building, benchmarking and longitudinal analy...

Offense and hate speech are a source of online conflicts which have become common in social media and, as such, their study is a growing topic of research in machine learning and natural language processing. This article presents two Portuguese language offense-related datasets that deepen the study of the subject: an Aggressiveness dataset and a Conflicts/Attacks dataset. While the former is similar to other o...

Towards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analys...

Offense and hate speech are a source of online conflicts which have become common in social media and, as such, their study is a growing topic of research in machine learning and natural language processing. This article presents two Portuguese language offense-related datasets that deepen the study of the subject: an Aggressiveness dataset and a Conflicts/Attacks dataset. While the former is similar to other o...

Prosociality in Cyberspace: Developing Emotion and Behavioral Regulation to Dec...

Different forms of verbal aggression are often present in cyberbullying, which may impair executive function skills that enable the regulation of emotions and behavior. Emotion and behavioral regulation has been associated with better social adjustment and more positive interactions between peers. This study aimed to understand if fostering emotion and behavioral regulation strategies could decrease aggressive ...

4 Décadas a Falar com Computadores

Local acoustic-prosodic entrainment in European Portuguese

This paper presents an acoustic-prosodic analysis of entrainment in map-task dialogues in European Portuguese. Our main goal is to analyze how turn-by-turn entrainment varies with distinct structural metadata events: types of sentence-like units (SUs) in consecutive turns (e.g. interrogatives followed by declaratives, or both declaratives), and with the presence of discourse markers, affirmative cue words, and ...

A semi-supervised learning approach for automatic personality classification ba...

Automatic personality analysis has gained great attention in the last years as a fundamental dimension in human-machine interactions. However, the development of this technology in some domains, such as the classification of children’s personality, has been hindered by the limited number and size of the available speech corpora due to ethical concerns on collecting such corpora. To circumvent the lack of data, ...

Automatic cyberbullying detection: A systematic review

Automatic cyberbullying detection is a task of growing interest, particularly in the Natural Language Processing and Machine Learning communities. Not only is it challenging, but it is also a relevant need given how social networks have become a vital part of individuals' lives and how dire the consequences of cyberbullying can be, especially among adolescents. In this work, we conduct an in-depth analysis of 2...

Acoustic-prosodic adaptation between speakers

This paper presents a global analysis of entrainment in map-task dialogues in European Portuguese, including 48 dialogues, between 24 speakers. Our main goal is to analyze the acoustic-prosodic similarities between speaker pairs, namely if there are global entrainment cues displayed in the dialogues, if entrainment is manifested in distinct sets of features shared amongst the speakers, if entrainment depends on...

Segment Level Voice Conversion with Recurrent Neural Networks

Voice conversion techniques aim to modify a subject’s voice characteristics in order to mimic the one’s of another person. Due to the difference in utterance length between source and target speaker, state of the art voice conversion systems often rely on a frame alignment pre-processing step. This step aligns the entire utterances with algorithms such as dynamic time warping (DTW) that introduce errors, hinder...

Global analysis of entrainment in dialogues

This paper performs a global analysis of entrainment between dyads in map-task dialogues in European Portuguese (EP), including 48 dialogues, between 24 speakers. Our main goals focus on the acoustic-prosodic similarities between speakers, namely if there are global entrainment cues displayed in the dialogues, if there are degrees of entrainment manifested in distinct sets of features shared amongst the speaker...