Learning Causal Representations for Robust Domain Adaptation
*** Abstract: In this study, we investigate a challenging problem, namely, robust domain adaptation, where data from only a single well-labe...
n-Gram based language processing using Twitter dataset to identify COVID-19 patients
*** Abstract: Due to the rapid growth of electronic documents, e.g., tweets, blogs, Facebook posts, snaps in different languages that use th...
A review on sentiment analysis and emotion detection from text
*** Abstract: Social networking platforms have become an essential means for communicating feelings to the entire world due to rapid expansi...
Sentiment classification of Chinese Weibo based on extended sentiment dictionary and organisational structure of comments
*** Abstract: Sentiment classification can provide the decision support of social applications such as trend judgment, public opinion monito...
A Survey on Sentiment and Emotion Analysis for Computational Literary Studies
*** Abstract: Emotions are a crucial part of compelling narratives: literature tells us about people with goals, desires, passions, and inte...
Improving the emotion-based classification by exploiting the fuzzy entropy in FCM clustering
*** Abstract Emotion detection in the natural language text has drawn the attention of several scientific communities as well as commercial/...
Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining
*** Depression is one of the most growing health disorders, generating social and economic problems. The affective computing models focus o...
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