Unravelling the impact of generative artificial intelligence (GAI) in industrial applications: A review of scientific and grey literature

AK Kar, PS Varsha, S Rajan - Global Journal of Flexible Systems …, 2023 - Springer
The scope of application of generative artificial intelligence (GAI) in industrial functions is
gaining high prominence in academic and industrial discourses. In this article, we explore …

A survey on sentiment analysis and its applications

TA Al-Qablan, MH Mohd Noor, MA Al-Betar… - Neural Computing and …, 2023 - Springer
Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …

[HTML][HTML] Ensemble stacking model for sentiment analysis of Emirati and Arabic dialects

AA Al Shamsi, S Abdallah - Journal of King Saud University-Computer and …, 2023 - Elsevier
Sentiment analysis is the process of examining people's opinions and emotions towards
goods, services, organizations, individuals, and other things, through the use of textual data …

[HTML][HTML] Transfer learning for sentiment classification using bidirectional encoder representations from transformers (BERT) model

A Areshey, H Mathkour - Sensors, 2023 - mdpi.com
Sentiment is currently one of the most emerging areas of research due to the large amount
of web content coming from social networking websites. Sentiment analysis is a crucial …

An integrated approach for modern supply chain management: utilizing advanced machine learning models for sentiment analysis, demand forecasting, and …

I Amellal, A Amellal, H Seghiouer… - Decision Science …, 2024 - growingscience.com
In the contemporary business landscape, effective interpretation of customer sentiment,
accurate demand forecasting, and precise price prediction are pivotal in making strategic …

[PDF][PDF] Sentiment analysis of electronic social media based on deep learning

VD Derbentsev, VS Bezkorovainyi, AV Matviychuk… - no. M3e2, 2023 - ds.knu.edu.ua
This paper describes Deep Learning approach of sentiment analyses which is an active
research subject in the domain of Natural Language Processing. For this purpose we have …

[PDF][PDF] A comparative study of deep learning models for sentiment analysis of social media texts.

VD Derbentsev, VS Bezkorovainyi, AV Matviychuk… - M3E2 …, 2022 - ceur-ws.org
Sentiment analysis is a challenging task in natural language processing, especially for
social media texts, which are often informal, short, and noisy. In this paper, we present a …

BERT: A Review of Applications in Sentiment Analysis

MS Sayeed, V Mohan, KS Muthu - HighTech and Innovation …, 2023 - hightechjournal.org
E-commerce reviews are becoming more valued by both customers and companies. The
high demand for sentiment analysis is driven by businesses relying on it as a crucial tool to …

Empowering Transformers for Evidence-Based Medicine

S Mohammed, J Fiaidhi, H Shaik - medRxiv, 2023 - medrxiv.org
Breaking the barrier for practicing evidence-based medicine rely on effective methods for
rapidly identifying relevant evidences from the body of biomedical literature. An important …

A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce

S Putatunda, A Bhowmik, G Thiruvenkadam… - arXiv preprint arXiv …, 2023 - arxiv.org
According to the literature, Product reviews are an important source of information for
customers to support their buying decision. Product reviews improve customer trust and …