In this research, we build a prediction model of movie box office revenue by empirically
exploring its intricate relationships with user-generated content (UGC) as well as marketer …

This work belongs to the field of sentiment analysis; in particular, to opinion and emotion
classification using a lexicon-based approach. It solves several problems related to …

Sentiment lexicon, which provides sentiment information for words, plays an important role
in sentiment analysis task. Currently, most of sentiment lexicons have only one sentiment …

Background Suicide is a serious public health issue, accounting for 1.4% of all deaths
worldwide. Current risk assessment tools are reported as performing little better than chance …

Emotion artificial intelligence, the algorithm that recognizes and interprets various human
emotions beyond valence (positive and negative polarity), is still in its infancy but has …

Online travel and online travel culture developed fast in China recently years while useful
knowledge still hidden under a large number of tourism reviews. Therefore, we need …

Social media-transmitted online information, which is associated with emotional
expressions, shapes our thoughts and actions. In this study, we incorporate social network …

This dissertation delves into the burgeoning and critical field of artificial intelligence (AI),
focusing on the increasingly intricate interaction between sophisticated algorithms and …

With the prevalence of mobile applications (Apps), it is of significance to investigate the
critical factors affecting their performance among customers, such as their rankings in the …

Most of the current sentiment lexicons only mark positive and negative polarities, and rarely
considering the ambiguity of words that may lead to changes in sentimental polarity and …