Twenty-four studies on twenty-three distinct languages and eleven social media illustrate the
steady interest in deep learning approaches for multilingual sentiment analysis of social …

Sentiment analysis automatically evaluates people's opinions of products or services. It is an
emerging research area with promising advancements in high-resource languages such as …

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 …

Using multimodal sentiment analysis, the presented method integrates linguistic, audio, and
visual features to identify sentiment in online videos. In particular, experiments focus on a …

In the era of Web 2.0, there has been an explosive growth of consumer-contributed
comments at social media and electronic commerce Web sites. Applying state-of-the-art …

To find out what other people think has been an essential part of information-gathering
behaviors. And in the case of movies, the movie reviews can provide an intricate insight into …

We introduce XED, a multilingual fine-grained emotion dataset. The dataset consists of
human-annotated Finnish (25k) and English sentences (30k), as well as projected …

Recent advancements in machine translation foster an interest of its use in sentiment
analysis. In this paper, we investigate prospects and limitations of machine translation in …

Subjectivity is the expression of internal opinions or beliefs which cannot be objectively
observed or verified, and has been shown to be important for sentiment analysis and word …

Traditional methods for sentiment analysis, when applied in a monolingual context, often
yield less than optimal results in multilingual settings. This underscores the need for a more …