Sentiment Analysis (SA), also called Opinion Mining, is currently one of the most studied
research fields. It aims to analyze people's sentiments, opinions, attitudes, emotions, etc …

Sentiment analysis (SA) is a continuing field of research that lies at the intersection of many
fields such as data mining, natural language processing and machine learning. It is …

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 …

Sentiment analysis or opinion mining is the computational study of people's opinions,
appraisals, attitudes, and emotions toward entities, individuals, issues, events, topics and …

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 …

This work focuses on automatically analyzing a speaker's sentiment in online videos
containing movie reviews. In addition to textual information, this approach considers adding …

Sentiment analysis is the natural language processing task dealing with sentiment detection
and classification from texts. In recent years, due to the growth in the quantity and fast …

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 …