Sentiment analysis has become an important task in natural language processing because it
is used in many different areas. This paper gives a detailed review of sentiment analysis …

Sentiment analysis of short informal texts, such as tweets, remains a challenging task due to
their particular characteristics. Much effort has been made in the literature of Twitter …

With the exponential growth of social media networks, such as Twitter, plenty of user-
generated data emerge daily. The short texts published on Twitter–the tweets–have earned …

Transformer-based models have been scaled up to account for absorbing more information
and improve their performances. However, several studies have called attention to their …

Sentiment analysis is the task of determining the opinion expressed on subjective data,
which may include microblog messages, such as tweets. This type of message has been …

Sentiment analysis has been applied to large masses of data produced by social media,
allowing to investigate users' opinion about products, brands and news. However, the …

The main objective of this thesis is to analyze the meanings given by the newspaper Folha
de S. Paulo and by Twitter users to the event Parliamentary Commission of Inquiry on the …

Este artigo analisa os sentidos que os usuários do Twitter concederam à Comissão
Parlamentar de Inquérito (CPI) da Pandemia, mais conhecida como “CPI da Covid”. A partir …

This study emphasizes the importance of communicating accounting information in the
public sector for strengthening democracy, allowing citizens to control their rulers. Therefore …

O uso de mídias sociais está cada vez mais presente em nossas vidas. É através de
imagens, textos e vídeos que os seres humanos tentam se comunicar nas redes sociais e …