Structured sentiment analysis attempts to extract full opinion tuples from a text, but over time
this task has been subdivided into smaller and smaller sub-tasks, e, g,, target extraction or …

Depression is a common mental health issue that affects a large percentage of people all
around the world. Usually, people who suffer from this mood disorder have issues such as …

In the age of social media, the spread of rumors is becoming easier due to the proliferation
of communication and information dissemination platforms. Detecting rumors is a major …

Social networking sites in the most modernized world are flooded with large data volumes.
Extracting the sentiment polarity of important aspects is necessary as it helps to determine …

Purpose In the era of information overload, the density of tourism information and the
increasingly sophisticated information needs of consumers have created information …

Uncovering the latent structure of various hotly discussed topics and the corresponding
sentiments from different social media user groups (eg, Twitter) is critical for helping …

We describe the work carried out by AMEX AI Labs on the structured sentiment analysis task
at SemEval-2022. This task focuses on extracting fine grained information wrt to source …

Recently, the remarkable growth of Internet technology, particularly on social media
networking sites, enables gathering data for analyzing and gaining insights. It is challenging …

Sentiment analysis is a text analysis method that is developed for systematically detecting,
identifying, or extracting the emotional intent of words to infer if the text expresses a positive …

To provide insight into online learners' interests in various knowledge from course
discussion texts, modeling learners' sentiments and interests at different granularities are of …