As the prevalence of social media on the Internet, opinion mining has become an essential
approach to analyzing so many data. Various applications appear in a wide range of …

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 …

The design of widespread vision-and-language datasets and pre-trained encoders directly
adopts, or draws inspiration from, the concepts and images of ImageNet. While one can …

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 …

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 …

In recent years great success has been achieved in sentiment classification for English,
thanks in part to the availability of copious annotated resources. Unfortunately, most …

Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …

Sentiment analysis is a growing field at the intersection of linguistics and computer science
that attempts to automatically determine the sentiment contained in text. Sentiment can be …

The lack of Chinese sentiment corpora limits the research progress on Chinese sentiment
classification. However, there are many freely available English sentiment corpora on the …

Sentiment analysis in a multilingual world remains a challenging problem, because
developing language-specific sentiment lexicons is an extremely resourceintensive process …