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Ranking Online Reviews Based on Their Helpfulness: An Unsupervised Approach
Online reviews are an essential aspect of online shopping for both customers and retailers.
Exploring Thematic Coherence in Fake News
The spread of fake news remains a serious global issue; understanding and curtailing it is paramount.
Hotspot identification for Mapper graphs
Mapper algorithm can be used to build graph-based representations of high-dimensional data capturing structurally interesting features such as loops, flares or clusters.
ReSCo-CC: Unsupervised Identification of Key Disinformation Sentences
Disinformation is often presented in long textual articles, especially when it relates to domains such as health, often seen in relation to COVID-19.
Does History Matter? Using Narrative Context to Predict the Trajectory of Sentence Sentiment
Previous work in the area of sentiment analysis has focused on using information from within a sentence to predict a valence value for that sentence.
Sentiment and Emotion Based Representations for Fake Reviews Detection
They can be unethical as well as harmful.
