Review of graph neural network in text classification

M Malekzadeh, P Hajibabaee, M Heidari… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
Text classification is one of the fundamental problems in Natural Language Processing
(NLP). Several research studies have used deep learning approaches such as Convolution …

Bert model for fake news detection based on social bot activities in the covid-19 pandemic

M Heidari, S Zad, P Hajibabaee… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
In the global pandemic, social media platforms are the primary source of information
exchange. Social bots are one of the main sources of misinformation in the COVID-19 …

Offensive language detection on social media based on text classification

P Hajibabaee, M Malekzadeh… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
There is a concerning rise of offensive language on the content generated by the crowd over
various social platforms. Such language might bully or hurt the feelings of an individual or a …

[HTML][HTML] Semantic similarity on multimodal data: A comprehensive survey with applications

B Ihnaini, B Abuhaija, EA Mills… - Journal of King Saud …, 2024 - Elsevier
Recently, the revival of the semantic similarity concept has been featured by the rapidly
growing artificial intelligence research fueled by advanced deep learning architectures …

An empirical study of the graphsage and word2vec algorithms for graph multiclass classification

P Hajibabaee, M Malekzadeh, M Heidari… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
A fundamental task in machine learning involves node classification. However, when
considering the context of large graph data, this problem becomes much more challenging …

Efficient large scale nlp feature engineering with apache spark

A Esmaeilzadeh, M Heidari… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
Feature engineering is a computationally time-consuming process in the end-to-end
machine learning pipeline. Large amounts of text data are being generated on many …

Mapreduce preprocess of big graphs for rapid connected components detection

R Abdolazimi, M Heidari… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
Paramount and vast applications such as social networks deal with big graphs. For this
reason, big graph analysis and processing is currently a necessity. Detection of connected …

Review of deep learning methods for automated sleep staging

M Malekzadeh, P Hajibabaee… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
In order to diagnose sleep problems, it is critical to correctly identify sleep stages which is a
labor-intensive task. Due to rising data volumes, advanced algorithms, and improvements in …

Online user profiling to detect social bots on twitter

M Heidari, JH Jones Jr, O Uzuner - arxiv preprint arxiv:2203.05966, 2022 - arxiv.org
Social media platforms can expose influential trends in many aspects of everyday life.
However, the movements they represent can be contaminated by disinformation. Social bots …

Outsourcing training without uploading data via efficient collaborative open-source sampling

J Hong, L Lyu, J Zhou… - Advances in neural …, 2022 - proceedings.neurips.cc
As deep learning blooms with growing demand for computation and data resources,
outsourcing model training to a powerful cloud server becomes an attractive alternative to …