Sentiments or opinions from social media provide the most up-to-date and inclusive
information, due to the proliferation of social media and the low barrier for posting the …

Sentiment analysis requires a lot of information coming from different sources and about
different topics to be retrieved and fused. For this reason, one of the most important subtasks …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …

The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including
sociology, psychology, economics, linguistics, and computer science. A number of excellent …

Sentiment analysis is a natural language processing technique that extricated data from the
text to identify the positive and negative polarity of information. This work aims at analyzing …

We describe the outcome of the 2023 edition of the CheckThat! Lab at CLEF. We focus on
subjectivity (Task 2), which has been proposed for the first time. It aims at fostering the …

We develop novel annotation guidelines for sentence-level subjectivity detection, which are
not limited to language-specific cues. We use our guidelines to collect NewsSD-ENG, a …

In this paper, we propose to study the effects of negation and modality on opinion
expressions. Based on linguistic experiments informed by native speakers, we distill these …