Racism detection by analyzing differential opinions through sentiment analysis of tweets using stacked ensemble gcr-nn model

E Lee, F Rustam, PB Washington, F El Barakaz… - IEEE …, 2022 - ieeexplore.ieee.org
With social media's dominating role in the socio-political landscape, several existing and
new forms of racism took place on social media. Racism has emerged on social media in …

[PDF][PDF] Sexism identification in social networks: advances in automated detection–a report on the exist task at CLEF

N Maqbool - Working Notes of CLEF, 2024 - ceur-ws.org
The widespread usage of social networks has brought forth numerous challenges, including
the proliferation of sexist content, which contributes to gender inequality and discrimination …

An efficient exploratory demographic data analytics using preprocessed autoregressive integrated moving average

SN Menon, S Tyagi, VG Shankar - … and Analytics: Proceedings of the 9th …, 2022 - Springer
The demographic dividend is an essential measure of the growth and development of a
country. It refers to the economy's growth due to a shift in the age structure in the country's …

Arabic Hate Speech Detection on social media using Machine Learning

S Gasmi, A Mezghani, M Kherallah - International Conference on …, 2023 - Springer
With the spread of online hate speech, in the recent decade, that threatens the safety of
human beings and assaults their protected characteristics, there is an important interest in …

Long Short-Term Memory-Driven Recurrent Neural Network for Real-Time Stock Monitoring and Prediction

S Patil, VG Shankar, B Devi, AP Singh… - … Techniques for Data …, 2023 - Springer
A stock market has an extreme effect on today's economy. It has always been a tough job to
invest in stock market. In a world where inflation increases at 3% per year, we must invest …

Toward Arabic social networks unmasking toxicity using machine learning and deep learning models

A Mezghani, M Elleuch, S Gasmi… - … Journal of Intelligent …, 2024 - inderscienceonline.com
With the rapid expansion of social media usage, the issue of racism has gained momentum,
leading to an increased prevalence of racist discussions. Despite the efforts made by …

MoRec: User's Definition Inspired Analytical Approach for Movie Recommendation

P Yadav, VG Shankar, B Devi, NV Sharma… - … on Information Systems …, 2021 - Springer
As of 2020, streaming service giant Netflix has 204 million subscribers. Data experts suggest
that Netflix users will spend just 60–90 s browsing and reviewing 10 to 20 titles before finally …

SMOTE for enhancing Tunisian Hate Speech detection on social media with machine learning

S Gasmi, A Mezghani… - International Journal of …, 2024 - journals.sagepub.com
In the last decade, the world has witnessed remarkable technological development,
especially in artificial intelligence, which helps researchers find solutions to problems of …

NEWSMO: A Computer-Aided News Classification Model from Tweets Topic Using a Modified Passive Aggressive and Pipeline Classifier

VG Shankar, S Vats, S Mohapatra… - … Conference on Self …, 2023 - ieeexplore.ieee.org
In the current technology, wherein the internet is wall-to-wall, all of us are predicated on
diverse online assets for information. Fake information in recent times is a crucial factor in …

Synthesizing User Comments to Prospective Viral Interests on New Media Using Sentiment Analysis for Effective Data Visualization Premeditated for Journalism 4.0

MR Sethurajan, K Natarajan - Industry 4.0 Key Technological …, 2024 - taylorfrancis.com
Digital journalism has been philandering with the emergence of local narratives in recent
decades. Using data visualization to effectively explain difficult information is one of them …