Sentiment analysis has benefited from the availability of lexicons and benchmark datasets
created over decades of research. However, its applications to the real world are a driving …

Abstract Machine translation (MT) is widely used to translate content on social media
platforms aiming to improve accessibility. A great part of the content circulated on social …

It is common for websites that contain User-Generated Text (UGT) to provide an automatic
translation option to reach out to their linguistically diverse users. In such scenarios, the …

In the online world, Machine Translation (MT) systems are extensively used to translate User-
Generated Text (UGT) such as reviews, tweets, and social media posts, where the main …

In this paper, we focus on how current Machine Translation (MT) tools perform on the
translation of emotion-loaded texts by evaluating outputs from Google Translate according to …

With the advent of Neural Machine Translation (NMT) systems, the MT output has reached
unprecedented accuracy levels which resulted in the ubiquity of MT tools on almost all …

Sentiment research encompasses all aspects of identifying, interpreting, and evaluating
people's attitudes toward different events, problems, administrations, or other topics …

Sentiment analysis has benefited from the availability of lexicons and benchmark datasets
created over decades of research. However, its applications to the real world are a driving …

Emotions are biological states of feeling that humans may verbally express to communicate
their negative or positive mood, influence others, or even afflict harm. Although emotions …