Factors contributing towards research productivity in higher education.
Research Productivity (RP) is the key element in the establishment of ranking and rating
system in the Higher Education (HE) sector. Despite of the many initiatives taken to enliven …
system in the Higher Education (HE) sector. Despite of the many initiatives taken to enliven …
Spam detection on social networks using deep contextualized word representation
Spam detection on social networks, considered a short text classification problem, is a
challenging task in natural language processing due to the sparsity and ambiguity of the …
challenging task in natural language processing due to the sparsity and ambiguity of the …
[HTML][HTML] Multi-objective genetic algorithm and CNN-based deep learning architectural scheme for effective spam detection
WS Jacob - International Journal of Intelligent Networks, 2022 - Elsevier
E-mail has traditionally been regarded as the most powerful medium in online social
networks, where users can discuss, connect, and share links with other online social media …
networks, where users can discuss, connect, and share links with other online social media …
Hoax classification and sentiment analysis of Indonesian news using Naive Bayes optimization
HA Santoso, EH Rachmawanto… - TELKOMNIKA …, 2020 - telkomnika.uad.ac.id
Currently, the spread of hoax news has increased significantly, especially on social media
networks. Hoax news is very dangerous and can provoke readers. So, this requires special …
networks. Hoax news is very dangerous and can provoke readers. So, this requires special …
A YouTube spam comments detection scheme using cascaded ensemble machine learning model
H Oh - IEEE Access, 2021 - ieeexplore.ieee.org
This paper proposes a technique to detect spam comments on YouTube, which have
recently seen tremendous growth. YouTube is running its own spam blocking system but …
recently seen tremendous growth. YouTube is running its own spam blocking system but …
Analysis and classification of user comments on YouTube videos
KM Kavitha, A Shetty, B Abreo, A D'Souza… - Procedia Computer …, 2020 - Elsevier
We categorize the user comments posted on YouTube video sharing website based on their
relevance to the video content given by the description associated with the video posted …
relevance to the video content given by the description associated with the video posted …
A hybrid method based on estimation of distribution algorithms to train convolutional neural networks for text categorization
Abstract Convolutional Neural Networks for text categorization allows the extraction of
features from the text represented through word embedding. The high dimensionality of the …
features from the text represented through word embedding. The high dimensionality of the …
Robust multimedia spam filtering based on visual, textual, and audio deep features and random forest
Nowadays, there is a growing demand among Internet and social media users for improved
protection against spam. Despite numerous studies focused on spam detection, no …
protection against spam. Despite numerous studies focused on spam detection, no …
[PDF][PDF] Sentiment analysis of twitter posts related to the covid-19 vaccines
NN Alabid, ZD Katheeth - Indonesian Journal of Electrical …, 2021 - academia.edu
A real threat to the people of the world has appeared as a result of the spread of the
Coronavirus disease of 2019 (COVID-19) disease. A lot of scientific and financial support …
Coronavirus disease of 2019 (COVID-19) disease. A lot of scientific and financial support …
[HTML][HTML] Enhancing representation in the context of multiple-channel spam filtering
M Novo-Loures, D Ruano-Ordas, R Pavon… - Information Processing …, 2022 - Elsevier
This study addresses the usage of different features to complement synset-based and bag-of-
words representations of texts in the context of using classical ML approaches for spam …
words representations of texts in the context of using classical ML approaches for spam …