[HTML][HTML] Decoding digital nomad destination decisions through user-generated content

FJS Lacárcel, R Huete, K Zerva - Technological Forecasting and Social …, 2024 - Elsevier
Digital nomads are engaged in a complex quest to select their next destination. In this
context, user-generated content (UGC) on social media is a pivotal source to glean insights …

Modified aquila optimizer with stacked deep learning-based sentiment analysis of COVID-19 tweets

AS Almasoud, HJ Alshahrani, AQA Hassan, NS Almalki… - Electronics, 2023 - mdpi.com
In recent times, global cities have been transforming from traditional cities to sustainable
smart cities. In text sentiment analysis (SA), many people face critical issues namely urban …

[HTML][HTML] Explainable assessment of financial experts' credibility by classifying social media forecasts and checking the predictions with actual market data

S García-Méndez, F de Arriba-Pérez… - Expert Systems with …, 2024 - Elsevier
Social media include diverse interaction metrics related to user popularity, the most evident
example being the number of user followers. The latter has raised concerns about the …

[HTML][HTML] A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data

JP Venugopal, AAV Subramanian, G Sundaram… - Applied Sciences, 2024 - mdpi.com
Sentiment analysis is a vital component of natural language processing (NLP), enabling the
classification of text into positive, negative, or neutral sentiments. It is widely used in …

Sentiment Analysis on YouTube Comment Data for the Candidate Debate in the 2024 Presidential Election of the Republic of Indonesia

K Purwandari, MA Jiwanggi… - 2024 5th International …, 2024 - ieeexplore.ieee.org
The 2024 presidential election in Indonesia is just around the corner, and political figures
are actively campaigning to increase their electability. Sentiment analysis has become a …

Fatty Liver Disease Prediction: Using Machine Learning Algorithms

D Bansal, S Raheja, M Kumar - Predictive Data Modelling for …, 2024 - taylorfrancis.com
It has been seen that a lot of individuals nowadays are struggling with a variety of health
problems. Even an infant, upon entering this world, might be subjected to the ravages of …

Twitter Sentiment Analysis of COVID-19 Vaccination Integrating SenticNet-7 and SentiWordNet-Adjusted VADER Models

PC Sridevi, T Velmurugan - International Journal of Computer …, 2024 - cspub-ijcisim.org
Social media platforms in the modern era are enormous informational databases that
continually generate massive volumes of data that provide deep insights into human …

Detection and Analysis of Botnet Attacks Using Machine Learning Techniques

S Raheja - … Artificial Intelligence in Cybersecurity Analytics and …, 2024 - Wiley Online Library
Summary The Internet of Things (IoT) allows connections between billions of devices to
store different types of data using sensors. This data can be reused for multiple purposes …

The sentiment analysis and emotion detection of COVID-19 online education tweets using ML techniques

L Saini, P Verma, S Seniaray - AIP Conference Proceedings, 2024 - pubs.aip.org
The COVID-19 outbreak impacted drastically to education and most of educational
institutions started preferring online education for students. However, after the settlement of …

Sentimental Analysis and Social Media

K Sowmya, KN Shashank, T Shreejesh, SM Shetty… - Authorea …, 2024 - techrxiv.org
In an era characterized by the digital revolution and the widespread adoption of social
media platforms, analysing user sentiments online has become essential for grasping public …