[HTML][HTML] FakeBERT: Fake news detection in social media with a BERT-based deep learning approach

RK Kaliyar, A Goswami, P Narang - Multimedia tools and applications, 2021 - Springer
In the modern era of computing, the news ecosystem has transformed from old traditional
print media to social media outlets. Social media platforms allow us to consume news much …

FNDNet–a deep convolutional neural network for fake news detection

RK Kaliyar, A Goswami, P Narang, S Sinha - Cognitive Systems Research, 2020 - Elsevier
With the increasing popularity of social media and web-based forums, the distribution of fake
news has become a major threat to various sectors and agencies. This has abated trust in …

Convolutional neural networks-an extensive arena of deep learning. A comprehensive study

N Singh, H Sabrol - Archives of Computational Methods in Engineering, 2021 - Springer
Deep learning is an evolving expanse of machine learning. Machine learning is observing
its neoteric span as deep learning is steadily becoming the pioneer in this field. With the …

Sentiment analysis based on improved pre-trained word embeddings

SM Rezaeinia, R Rahmani, A Ghodsi, H Veisi - Expert Systems with …, 2019 - Elsevier
Sentiment analysis is a fast growing area of research in natural language processing (NLP)
and text classifications. This technique has become an essential part of a wide range of …

Hazard analysis: A deep learning and text mining framework for accident prevention

B Zhong, X Pan, PED Love, J Sun, C Tao - Advanced Engineering …, 2020 - Elsevier
Learning from past accidents is pivotal for improving safety in construction. However, hazard
records are typically documented and stored as unstructured or semi-structured free-text …

Improving the performance of sentiment analysis of tweets containing fuzzy sentiment using the feature ensemble model

HT Phan, VC Tran, NT Nguyen, D Hwang - Ieee Access, 2020 - ieeexplore.ieee.org
The increase in the volume of user-generated content on Twitter has resulted in tweet
sentiment analysis becoming an essential tool for the extraction of information about Twitter …

AENeT: an attention-enabled neural architecture for fake news detection using contextual features

V Jain, RK Kaliyar, A Goswami, P Narang… - Neural Computing and …, 2022 - Springer
In the current era of social media, the popularity of smartphones and social media platforms
has increased exponentially. Through these electronic media, fake news has been rising …

Fake news detection and classification using hybrid BiLSTM and self-attention model

A Mohapatra, N Thota, P Prakasam - Multimedia Tools and Applications, 2022 - Springer
Living in the twenty-first century, from shopping to reading news articles everything has
changed, everything has become online. Anyone can access most of everything with a …

Improving the accuracy of pre-trained word embeddings for sentiment analysis

SM Rezaeinia, A Ghodsi, R Rahmani - arXiv preprint arXiv:1711.08609, 2017 - arxiv.org
Sentiment analysis is one of the well-known tasks and fast growing research areas in natural
language processing (NLP) and text classifications. This technique has become an essential …

Convolutional neural network algorithm–based novel automatic text classification framework for construction accident reports

X Luo, X Li, X Song, Q Liu - Journal of Construction Engineering and …, 2023 - ascelibrary.org
Construction sites remain one of the most hazardous workplaces globally. To improve
workplace safety in the construction industry and reduce the personal injuries and …