Abstract The era of Big Data has arrived along with large volume, complex and growing data
generated by many distinct sources. Nowadays, nearly every aspect of the modern society is …

Multimodal sentiments have become the challenge for the researchers and are equally
sophisticated for an appliance to understand. One of the studies that support MS problems is …

Microblog has been a popular media platform for reporting and propagating news. However,
fake news spreading on microblogs would severely jeopardize its public credibility. To …

The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

With the rapid development of social media platforms and the increasing scale of the social
media data, the rumor detection task has become vitally important since the authenticity of …

Multimodal sentiment analysis has attracted increasing attention with broad application
prospects. Most of the existing methods have focused on a single modality, which fails to …

With the prevalence of the Internet, online reviews have become a valuable information
resource for people. However, the authenticity of online reviews remains a concern, and …

In the field of multimodal machine learning, multimodal sentiment analysis task has been an
active area of research. The predominant approaches focus on learning efficient multimodal …

Progression in the popularity of social media activities had provided huge amount of data in
the form of text that can immeasurably augment its specialty. This textual data offers a …

With the rapid development of social media and the increasing scale of social media data,
the rumor detection on social media platforms has become vitally crucial. The key …