|
|
|
|
|
Donia Gamal, Marco Alfonse, Salud María Jiménez-Zafra and Mostafa Aref
Sentiment Analysis, also known as opinion mining, is the area of Natural Language Processing that aims to extract human perceptions, thoughts, and beliefs from unstructured textual content. It has become a useful, attractive, and challenging research are...
ver más
|
|
|
|
|
|
|
|
|
|
|
Viera Maslej-Kre?náková, Martin Sarnovský and Júlia Jacková
The work presented in this paper focuses on the use of data augmentation techniques applied in the domain of the detection of antisocial behavior. Data augmentation is a frequently used approach to overcome issues related to the lack of data or problems ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Viera Maslej-Kre?náková, Martin Sarnovský, Peter Butka and Kristína Machová
The emergence of anti-social behaviour in online environments presents a serious issue in today?s society. Automatic detection and identification of such behaviour are becoming increasingly important. Modern machine learning and natural language processi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Giannis Haralabopoulos, Ioannis Anagnostopoulos and Derek McAuley
Sentiment analysis usually refers to the analysis of human-generated content via a polarity filter. Affective computing deals with the exact emotions conveyed through information. Emotional information most frequently cannot be accurately described by a ...
ver más
|
|
|
|
|
|