We extract a large-scale stance detection dataset from comments written by candidates of
elections in Switzerland. The dataset consists of German, French and Italian text, allowing …

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 …

Predicting therapeutic outcome in the mental health domain is of utmost importance to
enable therapists to provide the most effective treatment to a patient. Using information from …

We present the results of an evaluation study in the context of lexicon-based sentiment
analysis resources for German texts. We have set up a comprehensive compilation of 19 …

Sentiment Analysis (SA) is a major field of study in natural language processing,
computational linguistics and information retrieval. Interest in SA has been constantly …

Sentiment analysis and opinion mining are essential tasks with many prominent application
areas, eg, when researching popular opinions on products or brands. Sentiments expressed …

Opinion mining has received wide attention in recent years. Models for this task are typically
trained or evaluated with a manually annotated dataset. However, fine-grained annotation of …

The automatic analysis of texts containing opinions of users about, eg, products or political
views has gained attention within the last decades. However, previous work on the task of …

Online social media is used to show the sentiments of different individuals about various
subjects. Sentiment analysis or opinion mining has recently been considered as one of the …

Many approaches to sentiment analysis rely on a lexicon that labels words with a prior
polarity. This is particularly true for languages other than English, where labelled training …