Automated Detection of Persuasive Content in Electronic News

Automated Detection of Persuasive Content in Electronic News

Persuasive content in online news contains elements that aim to persuade its readers and may not necessarily include factual information. Since a news article only has some sentences that indicate persuasiveness, it would be quite challenging to differentiate news with or without the persuasive cont...

Full description

Bibliographic Details
Main Authors:	Brian Rizqi Paradisiaca Darnoto, Daniel Siahaan, Diana Purwitasari
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Informatics
Subjects:	BERT BiLSTM electronic news persuasive text summarization
Online Access:	https://www.mdpi.com/2227-9709/10/4/86

Similar Items

TChecker: A Content Enrichment Approach for Fake News Detection on Social Media
by: Nada GabAllah, et al.
Published: (2023-12-01)

Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model
by: Xuchu Jiang, et al.
Published: (2022-06-01)

Detecting Arabic Misinformation Using an Attention Mechanism-Based Model
by: Bashar AlEsawi, et al.
Published: (2024-02-01)

Using BiLSTM Networks for Context-Aware Deep Sensitivity Labelling on Conversational Data
by: Antreas Pogiatzis, et al.
Published: (2020-12-01)

A novel approach to fake news classification using LSTM-based deep learning models
by: Halyna Padalko, et al.
Published: (2024-01-01)

Arabic Aspect Extraction Based on Stacked Contextualized Embedding With Deep Learning
by: Arwa Saif Fadel, et al.
Published: (2022-01-01)

Medical Named Entity Recognition Fusing Part-of-Speech and Stroke Features
by: Fen Yi, et al.
Published: (2023-08-01)

Intent Detection Problem Solving via Automatic DNN Hyperparameter Optimization
by: Jurgita Kapočiūtė-Dzikienė, et al.
Published: (2020-10-01)

Summarization of scholarly articles using BERT and BiGRU: Deep learning-based extractive approach
by: Sheher Bano, et al.
Published: (2023-10-01)

Understanding Quality of Products from Customers’ Attitude Using Advanced Machine Learning Methods
by: Aman Ullah, et al.
Published: (2023-02-01)

Leveraging Part-of-Speech Tagging Features and a Novel Regularization Strategy for Chinese Medical Named Entity Recognition
by: Miao Jiang, et al.
Published: (2022-04-01)

A Two-Channel Chinese Enterprise Abbreviation Generation Method Based on an Enterprise Component and Single-Character Strategy
by: Wei Ai, et al.
Published: (2022-01-01)

Sentiment analysis based on Chinese BERT and fused deep neural networks for sentence-level Chinese e-commerce product reviews
by: Hong Fang, et al.
Published: (2022-12-01)

Emotion Analysis Based on Deep Learning With Application to Research on Development of Western Culture
by: Ming Chen
Published: (2022-09-01)

Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text
by: Mikail Muhammad Azman Busst, et al.
Published: (2024-01-01)

Software Subclassification Based on BERTopic-BERT-BiLSTM Model
by: Wenjuan Bu, et al.
Published: (2023-09-01)

Roman Urdu Hate Speech Detection Using Transformer-Based Model for Cyber Security Applications
by: Muhammad Bilal, et al.
Published: (2023-04-01)

Contextual Embeddings-Based Web Page Categorization Using the Fine-Tune BERT Model
by: Amit Kumar Nandanwar, et al.
Published: (2023-02-01)

Aspect-Level Sentiment Analysis Using CNN Over BERT-GCN
by: Huyen Trang Phan, et al.
Published: (2022-01-01)

Text Sentiment Analysis of Douban Film Short Comments Based on BERT-CNN-BiLSTM-Att Model
by: Aixiang He, et al.
Published: (2024-01-01)

Intelligent Recognition of Key Earthquake Emergency Chinese Information Based on the Optimized BERT-BiLSTM-CRF Algorithm
by: Zhonghao Wang, et al.
Published: (2023-02-01)

Sentiment Analysis About Investors and Consumers in Energy Market Based on BERT-BiLSTM
by: Ren Cai, et al.
Published: (2020-01-01)

Comparison of machine learning and deep learning techniques for the prediction of air pollution: a case study from China
by: Ishan Ayus, et al.
Published: (2023-05-01)

Abstractive text summarization of low-resourced languages using deep learning
by: Nida Shafiq, et al.
Published: (2023-01-01)

Modelling of Deep Learning-Based Downscaling for Wave Forecasting in Coastal Area
by: Didit Adytia, et al.
Published: (2023-01-01)

A Patent Keyword Extraction Method Based on Corpus Classification
by: Changjian Sun, et al.
Published: (2024-04-01)

Comparison of the Forecast Accuracy of Total Electron Content for Bidirectional and Temporal Convolutional Neural Networks in European Region
by: Artem Kharakhashyan, et al.
Published: (2023-06-01)

A C-BiLSTM Approach to Classify Construction Accident Reports
by: Jinyue Zhang, et al.
Published: (2020-08-01)

Knowledge distillation of news text classification based on BERT-CNN
by: Ye Rong, et al.
Published: (2023-01-01)

Hybrid Deep Learning Approach for Stress Detection Using Decomposed EEG Signals
by: Bishwajit Roy, et al.
Published: (2023-06-01)

An Approach for Buyer Name Normalization in Pharmacy Sales Data
by: Jiajing Li, et al.
Published: (2021-01-01)

SA-Bi-LSTM: Self Attention With Bi-Directional LSTM-Based Intelligent Model for Accurate Fake News Detection to Ensured Information Integrity on Social Media Platforms
by: Wang Jian, et al.
Published: (2024-01-01)

BioBBC: a multi-feature model that enhances the detection of biomedical entities
by: Hind Alamro, et al.
Published: (2024-04-01)

Multi-Meta Information Embedding Enhanced BERT for Chinese Mechanics Entity Recognition
by: Jiarong Zhang, et al.
Published: (2023-10-01)

A Multi-Attention Approach Using BERT and Stacked Bidirectional LSTM for Improved Dialogue State Tracking
by: Muhammad Asif Khan, et al.
Published: (2023-01-01)

Named Entity Recognition for Addresses: An Empirical Study
by: Helena Ceovic, et al.
Published: (2022-01-01)

An imConvNet-based deep learning model for Chinese medical named entity recognition
by: Yuchen Zheng, et al.
Published: (2022-11-01)

Abstractive Summarizers Become Emotional on News Summarization
by: Vicent Ahuir, et al.
Published: (2024-01-01)

Enhancement of handwritten text recognition using AI-based hybrid approach
by: Supriya Mahadevkar, et al.
Published: (2024-06-01)

A Three-Stage Uyghur Recognition Model Combining the Attention Mechanism and Different Convolutional Recurrent Networks
by: Wentao Li, et al.
Published: (2023-08-01)