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Review of graph neural network in text classification
Text classification is one of the fundamental problems in Natural Language Processing
(NLP). Several research studies have used deep learning approaches such as Convolution …
(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
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 …
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 …
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
Recently, the revival of the semantic similarity concept has been featured by the rapidly
growing artificial intelligence research fueled by advanced deep learning architectures …
growing artificial intelligence research fueled by advanced deep learning architectures …
An empirical study of the graphsage and word2vec algorithms for graph multiclass classification
A fundamental task in machine learning involves node classification. However, when
considering the context of large graph data, this problem becomes much more challenging …
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 …
machine learning pipeline. Large amounts of text data are being generated on many …
Mapreduce preprocess of big graphs for rapid connected components detection
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 …
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 …
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 …
However, the movements they represent can be contaminated by disinformation. Social bots …
Outsourcing training without uploading data via efficient collaborative open-source sampling
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 …
outsourcing model training to a powerful cloud server becomes an attractive alternative to …