Social media platforms present significant threats against underage users targeted for
predatory intents. Many early research works have applied the footprints left by online …

With the development of online social media, the fabrication and dissemination of rumors
are much easier than before. As a result, automatic rumor detection becomes more urgent …

Cross-domain sentiment classification aims to predict the sentiment tendency in unlabeled
target domain data using labeled source-domain data. The wide range of data sources has …

Cross-domain sentiment analysis (CDSA) aims to predict the sentiment polarities of reviews
in the target domain using a sentiment classifier learned from the source labeled domain …

Abstract Domain adaptation is one of the fundamental challenges in transfer learning. How
to effectively transfer knowledge from labeled source domain to unlabeled target domain is …

Cross-domain sentiment classification (CDSC) aims to use the transferable semantics
learned from the source domain to predict the sentiment of reviews in the unlabeled target …

As a hot spot these years, cross-domain sentiment classification aims to learn a reliable
classifier using labeled data from a source domain and evaluate the classifier on a target …

Significant progress has been made in sentiment analysis over the past few years,
especially due to the application of deep neural language models. However, there is a …

Cross-domain sentiment analysis (CDSA) aims to learn transferable knowledge from the
source domain to facilitate the sentiment polarity classification on the target domain of …

Cross-domain sentiment classification (CDSC) aims to predict the sentiment polarity of
reviews in an unsupervised target domain by utilizing a classifier learned from a supervised …