Enhancing Spam Comment Detection on Social Media With Emoji Feature and Post-Comment Pairs Approach Using Ensemble Methods of Machine Learning
AR Chrismanto, AK Sari, Y Suyanto - IEEE Access, 2023 - ieeexplore.ieee.org
Every time a well-known public figure posts something on social media, it encourages many
users to comment. Unfortunately, not all comments are relevant to the post. Some are spam …
users to comment. Unfortunately, not all comments are relevant to the post. Some are spam …
[PDF][PDF] Critical evaluation on spam content detection in social media
AR Chrismanto, K Sari, Y Suyanto - J. Theor. Appl. Inf. Technol, 2022 - jatit.org
The spam content detection problem is still challenging due to its complexity, feature
extraction process, language, context-aware detection capabilities, performance, and …
extraction process, language, context-aware detection capabilities, performance, and …
Rupiah exchange prediction of US Dollar using linear, polynomial, and radial basis function kernel in support vector regression
M Alida, M Mustikasari - Jurnal Online Informatika, 2020 - join.if.uinsgd.ac.id
As a developing country, Indonesia is affected by fluctuations in foreign exchange rates,
especially the US Dollar. Determination of foreign exchange rates must be profitable so a …
especially the US Dollar. Determination of foreign exchange rates must be profitable so a …
An analysis of spam email detection performance assessment using machine learning
B Santoso - Jurnal Online Informatika, 2019 - join.if.uinsgd.ac.id
Spam email is very annoying for email account users to get relevant information. Detection
of email spam has actually been applied to email services for the public with various …
of email spam has actually been applied to email services for the public with various …
Performance comparison of support vector machine and gaussian naive bayes classifier for youtube spam comment detection
Youtube is a video sharing site that was begun back in 2005. Youtube produces over 400
hours of substance each moment and more than 1 billion hours of substance are devoured …
hours of substance each moment and more than 1 billion hours of substance are devoured …
[PDF][PDF] Improving spam email detection using deep recurrent neural network
Nowadays the entire world depends on emails as a communication tool. Spammers try to
exploit various vulnerabilities to attack users with spam emails. While it is difficult to prevent …
exploit various vulnerabilities to attack users with spam emails. While it is difficult to prevent …
Arcing faults detection in switchgear with extreme learning machine
The robustness of switchgears has critical impacts on the general efficiency of power
distribution systems. Faulty switchgears lead to many unwanted complications for utility …
distribution systems. Faulty switchgears lead to many unwanted complications for utility …
EiAP-BC: A Novel Emoji Aware Inter-Attention Pair Model for Contextual Spam Comment Detection Based on Posting Text
Detecting spam comments on social media remains a continuously discussed research topic
to this day, especially on public figure/celebrity accounts in Indonesia. However, the …
to this day, especially on public figure/celebrity accounts in Indonesia. However, the …
Corona fault detection in switchgear with extreme learning machine
Switchgear is a very important component in a power distribution line. Failure in a
switchgear can lead to catastrophic danger and losses. In this research, a fault detection …
switchgear can lead to catastrophic danger and losses. In this research, a fault detection …
[PDF][PDF] Analysis of spammers' behavior on a live streaming chat
S Yousukkee, N Wisitpongphan - … International Journal of …, 2021 - pdfs.semanticscholar.org
Live streaming is becoming a popular channel for advertising and marketing. An advertising
company can use this feature to broadcast and reach a large number of customers …
company can use this feature to broadcast and reach a large number of customers …