Racism detection by analyzing differential opinions through sentiment analysis of tweets using stacked ensemble gcr-nn model
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 …
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 …
the proliferation of sexist content, which contributes to gender inequality and discrimination …
An efficient exploratory demographic data analytics using preprocessed autoregressive integrated moving average
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 …
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 …
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
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 …
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 …
leading to an increased prevalence of racist discussions. Despite the efforts made by …
MoRec: User's Definition Inspired Analytical Approach for Movie Recommendation
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 …
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 …
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
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 …
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 …
decades. Using data visualization to effectively explain difficult information is one of them …