Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

Sentiment Analysis (SA) is an ongoing field of research in text mining field. SA is the
computational treatment of opinions, sentiments and subjectivity of text. This survey paper …

Aspect-based sentiment analysis is a fine-grained sentiment analysis task, which needs to
detection the sentiment polarity towards a given aspect. Recently, graph neural models over …

Sentiment analysis (SA) is a widely used contextual mining technique for extracting useful
and subjective information from text-based data. It applies on Natural Language Processing …

Abstract Analysis of consumer reviews posted on social media is found to be essential for
several business applications. Consumer reviews posted in social media are increasing at …

With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …

Sentiment analysis on Twitter has attracted much attention recently due to its wide
applications in both, commercial and public sectors. In this paper we present SentiCircles, a …

Financial news articles are believed to have impacts on stock price return. Previous works
model news pieces in bag-of-words space, which analyzes the latent relationship between …

This study introduces the Sentiment Analysis and Cognition Engine (SEANCE), a freely
available text analysis tool that is easy to use, works on most operating systems (Windows …

The coronavirus outbreak has brought unprecedented measures, which forced the
authorities to make decisions related to the instauration of lockdowns in the areas most hit …