[HTML][HTML] Optimizing sentiment analysis of Nigerian 2023 presidential election using two-stage residual long short term memory

DO Oyewola, LA Oladimeji, SO Julius, LB Kachalla… - Heliyon, 2023 - cell.com
Sentiment analysis is the process of recognizing positive or negative attitudes in text. This
technique makes use of computational linguistics, text analysis, and natural language …

[PDF][PDF] Deep Learning Based Sentiment Analysis of COVID-19 Tweets via Resampling and Label Analysis.

M Humayun, D Javed, N Jhanjhi… - … Systems Science & …, 2023 - cdn.techscience.cn
Twitter has emerged as a platform that produces new data every day through its users which
can be utilized for various purposes. People express their unique ideas and views on …

[HTML][HTML] Harnessing customer feedback for product recommendations: an aspect-level sentiment analysis framework

NB Yadav - Human-Centric Intelligent Systems, 2023 - Springer
This research paper presents a novel approach for recommending products to customers
based on their cared aspects by performing sentiment analysis on customer feedback. The …

[PDF][PDF] Purchase Intention and Sentiment Analysis on Twitter Related to Social Commerce

MA Virgananda, I Budi, RR Suryono - International Journal of …, 2023 - researchgate.net
Social commerce is a digital and efficient solution to transform existing commerce and
address contemporary issues. TikTok Shop, a popular and trending social commerce …

Mental Health Sentiment Analysis on Social Media TikTok with the Naïve Bayes Algorithm

YY Lase, AR Lubis, F Elyza… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Mental health disorders can affect a person's emotions and behavior and can impact their
health and daily activities. The most serious consequence of poor mental health is death by …

Football analytics for goal prediction to assess player performance

D Javed, NZ Jhanjhi, NA Khan - … and Technology in Sports: Proceedings of …, 2023 - Springer
Abstract Machine learning techniques are often used for sports analytics, such as player
health prediction and avoidance, appraisal of prospective skill or market worth, and …

Analysis of Social Media Data Using Contextual Embedding Leverage Models with Convolutional Neural Networks

AR Lubis, Y Fatmi, D Witarsyah - 2023 10th International …, 2023 - ieeexplore.ieee.org
This research proposes a model approach that uses leverage contextual embedding with
Convolutional Neural Networks (CNN) in the context of sentiment analysis. The use of …

Explainable Twitter bot detection model for limited features

D Javed, NZ Jhanjhi, NA Khan - 2023 - IET
Twitter provides a rich field for open human conversation, yet it also attracts many fully
automated or partially automated accounts" disguised" as human users. These accounts …

Sentiment Analysis of Air Quality to Identify Public Perspectives in Indonesia Based on Machine Learning

N Agustina, A Hadhiwibowo… - 2023 17th …, 2023 - ieeexplore.ieee.org
The worsening air quality in Indonesia, especially in DKI Jakarta, has become a serious
concern. In this context, sentiment analysis can provide new information about people's …

Golden Tortoise Beetle Optimizer with Deep Learning Based Emotion Detection in Social Media

NA Taher, HA Rasool, ZN Abdulhussain… - … Technology and its …, 2023 - ieeexplore.ieee.org
Social networking sites like Twitter developed as social media platform that impart a vast
knowledge base for an individual to express their perspectives and exclusive ideologies on …