Bangla natural language processing: A comprehensive analysis of classical, machine learning, and deep learning-based methods
The Bangla language is the seventh most spoken language, with 265 million native and non-
native speakers worldwide. However, English is the predominant language for online …
native speakers worldwide. However, English is the predominant language for online …
Social media identity deception detection: a survey
Social media have been growing rapidly and become essential elements of many people's
lives. Meanwhile, social media have also come to be a popular source for identity deception …
lives. Meanwhile, social media have also come to be a popular source for identity deception …
Fake review detection based on multiple feature fusion and rolling collaborative training
J Wang, H Kan, F Meng, Q Mu, G Shi, X **ao - Ieee Access, 2020 - ieeexplore.ieee.org
Fake reviews may mislead consumers. A large number of fake reviews will even cause huge
property losses and public opinion crises. Therefore, it is necessary to detect and filter fake …
property losses and public opinion crises. Therefore, it is necessary to detect and filter fake …
Spam detection on social networks using cost-sensitive feature selection and ensemble-based regularized deep neural networks
A Barushka, P Hajek - Neural Computing and Applications, 2020 - Springer
Spam detection on social networks is increasingly important owing to the rapid growth of
social network user base. Sophisticated spam filters must be developed to deal with this …
social network user base. Sophisticated spam filters must be developed to deal with this …
Proactive forensics in IoT: Privacy-aware log-preservation architecture in fog-enabled-cloud using holochain and containerization technologies
Collecting and preserving the smart environment logs connected to cloud storage is
challenging due to the black-box nature and the multi-tenant cloud models which can …
challenging due to the black-box nature and the multi-tenant cloud models which can …
Detecting malicious reviews and users affecting social reviewing systems: A survey
The proliferation of attacks on On-line Social Networks (OSNs) has imposed particular
attention by providers and users. This has an even higher importance for Social Reviewing …
attention by providers and users. This has an even higher importance for Social Reviewing …
Named data networking for efficient iot-based disaster management in a smart campus
Disasters are uncertain occasions that can impose a drastic impact on human life and
building infrastructures. Information and Communication Technology (ICT) plays a vital role …
building infrastructures. Information and Communication Technology (ICT) plays a vital role …
Machine Learning‐Based Detection of Spam Emails
Social communication has evolved, with e‐mail still being one of the most common
communication means, used for both formal and informal ways. With many languages being …
communication means, used for both formal and informal ways. With many languages being …
A multi-modal approach towards mining social media data during natural disasters-A case study of Hurricane Irma
SD Mohanty, B Biggers, S Sayedahmed… - International journal of …, 2021 - Elsevier
Streaming social media provides a real-time glimpse of extreme weather impacts. However,
the volume of streaming data makes mining information a challenge for emergency …
the volume of streaming data makes mining information a challenge for emergency …
Contrasting the spread of misinformation in online social networks
Online social networks are nowadays one of the most effective and widespread tools used to
share information. In addition to being employed by individuals for communicating with …
share information. In addition to being employed by individuals for communicating with …