In the current digital era, massive amounts of unreliable, purposefully misleading material,
such as texts and images, are being shared widely on various web platforms to deceive the …

With the rapid developments in electronic commerce and digital payment technologies,
credit card transactions have increased significantly. Machine learning (ML) has been vital …

Automated sarcasm detection is deemed as a complex natural language processing task
and extending it to a morphologically-rich and free-order dominant indigenous Indian …

Text classification is a very important topic in the current era due to the high volume of
textual data and handling. Feature selection is one of the most important steps in text …

Sentiment analysis is indeed a difficult task owing to the playful language mannerism,
altered vocabulary and speak-text used on online forums. Humans tend to use words and …

Abstract Information quality is becoming an increasingly important issue as social networks
have become the primary source for misinformation dissemination. Because of their ease of …

Sentiment analysis (SA) is the systematic identification, extraction, quantification, and study
of affective states and subjective information using natural language processing. It is widely …

In the recent decades, the automatic veracity verification of rumors is essential, since online
social media platforms allow users to post news item or express opinion towards a …

Recently, online social media has become a primary source for new information and
misinformation or rumours. In the absence of an automatic rumour detection system the …

With the emergence of online social networks (OSNs) incorporating multimodal media, it is
challenging to differentiate manipulated multimedia content due to unseen patterns. Social …