Big data ML-based fake news detection using distributed learning

A Altheneyan, A Alhadlaq - IEEE Access, 2023 - ieeexplore.ieee.org
Users rely heavily on social media to consume and share news, facilitating the mass dis-
semination of genuine and fake stories. The proliferation of misinformation on various social …

[PDF][PDF] Predicting depression using deep learning and ensemble algorithms on raw twitter data

NP Shetty, B Muniyal, A Anand, S Kumar… - International Journal of …, 2020 - academia.edu
Social networking sites have become a habitual component, with sites like Twitter and
Facebook being the 7th and 2nd favorite sites having millions of subscribers [1]. Such sites …

Quantifying perception of security through social media and its relationship with crime

LF Chaparro, C Pulido, J Rudas, J Victorino… - IEEE …, 2021 - ieeexplore.ieee.org
The perception of security refers to the subjective evaluation of risks related to security
events and the magnitude of their consequences. Negative perceptions have severe …

Sentiment analysis of social network content to characterize the perception of security

LF Chaparro, C Pulido, J Rudas… - 2020 IEEE/ACM …, 2020 - ieeexplore.ieee.org
The study of the perception of security helps to understand the feeling of citizens in the face
of risk and the magnitude of its consequences, to understand the fear of crime. Traditionally …

Topic classification in Indonesian-language tweets using fast-text feature expansion with support vector machine (SVM)

IM Fadhil, Y Sibaroni - … Conference on Data Science and Its …, 2022 - ieeexplore.ieee.org
Twitter is a popular social media platform that gives users the ability to send text messages
with a maximum length of 280 characters which causes a lot of use of word variations that …

Text classification using KNN with different features selection methods

R Jodha, BC Gaur Sanjay, KR Chowdhary… - Text Classification using …, 2018 - ijrp.org
This paper presents a fast and efficient approach for text classification using KNN for
different feature selection method. Typically, this approach evaluates the performance of the …

[PDF][PDF] Automated Categorization of Research Papers with MONO Supervised Term Weighting in RECApp

RMA Depositario, GGT Noangay… - International …, 2023 - pdfs.semanticscholar.org
Natural Language Processing, specifically text classification or text categorization, has
become a trend in computer science. Commonly, text classification is used to categorize …

A real-world text classification application for an e-commerce platform

FM Yıldırım, A Kaya, SN Öztürk… - 2019 Innovations in …, 2019 - ieeexplore.ieee.org
This study aims to reflect the real-world utilities of machine learning applications by
implementing a set of different text classification algorithms in terms of accuracy and …

Comparative Study of Deep Learning Models for Document Classification

A Sreekumar, R Reshma… - 2023 9th International …, 2023 - ieeexplore.ieee.org
In the last few years, deep learning has shown promising improvements in natural language
processing (NLP). LSTM, Bi-LSTM, and Convolutional Neural Networks (CNNs) are …

[PDF][PDF] Résumé sorting using artificial intelligence

VV Dixit, T Patel, N Deshpande… - International Journal of …, 2019 - ijresm.com
Nowadays, we have seen the technology reaching new heights than ever before. Hence a
lot of good chances of employment have been created for a lot of people. But each and …