Any brand's presence on social networks has a significant impact on emotional reactions of
its users to different types of posts on social media (SM). If a company understands the …

Video sentiment analysis aims to uncover the underlying attitudes of viewers, which has a
wide range of applications in real world. Existing works simply classify a video into a single …

Following disasters, public demand urgency is an essential element for equitable
infrastructure restoration planning. However, public demand urgency has yet been well …

Understanding the purchase likelihood of potential buyers is an important prerequisite for
marketers to carry out targeted marketing. Massive authentic and personalized user …

We present a novel framework to predict the success of Kickstarter campaigns based on the
emotional intensity induced by domain specific aspects. The framework enables to …

Abstract Convolutional Neural Network (CNN) has gained considerable attention in many
Natural Language Processing applications including sentiment analysis task. A typical CNN …

Social media has become a primary source of information for decision-makers,
organizations, and scientists in today's fast-paced world. Indeed, because of the large …

Sentiment analysis is the process of analyzing a person's perception or belief about a
particular subject matter. However, finding correct opinion or interest from multi-facet …

This empirical thesis analyses the impact of sentiments in online media on consumers,
businesses, and society as a whole, with a special focus on the research of new, robust …

Purpose. The paper aims to explain a proposal framework composed of social media
advertising value (SMAV) and self-efficacy (SEF) constructs with complementary factors …