Application of MADM methods in Industry 4.0: A literature review

W Zayat, HS Kilic, AS Yalcin, S Zaim, D Delen - Computers & Industrial …, 2023 - Elsevier
Industry 4.0 has received inordinate attention from the business as well as research
communities. Along with the development of Industry 4.0 applications and the diversity of …

Sentiment analysis in e-commerce platforms: A review of current techniques and future directions

H Huang, A Asemi, MB Mustafa - IEEE Access, 2023 - ieeexplore.ieee.org
Sentiment analysis (SA), also referred to as opinion mining, has become a widely used real-
world application of natural language processing in recent times. Its main goal is to identify …

A novel multi-attribute decision-making for ranking mobile payment services using online consumer reviews

AP Darko, D Liang, Z Xu, K Agbodah… - Expert Systems with …, 2023 - Elsevier
The onset of the COVID-19 pandemic has changed consumer usage behavior towards
mobile payment (m-payment) services. Consumer usage behavior towards m-payment …

Enhanced Elman spike neural network based sentiment analysis of online product recommendation

A Solairaj, G Sugitha, G Kavitha - Applied Soft Computing, 2023 - Elsevier
The major task of Natural Language Processing (NLP) is Sentiments Analysis (SA) or
Opinion Mining (OM). It captures the opinion, trust, and feelings of every user's about the …

[HTML][HTML] A picture fuzzy set multi criteria decision-making approach to customize hospital recommendations based on patient feedback

M Bani-Doumi, J Serrano-Guerrero, F Chiclana… - Applied Soft …, 2024 - Elsevier
Sentiment analysis techniques have allowed exploiting the information available in millions
of opinions conveyed through different Internet services. One example would be the multiple …

A new multi attribute decision making method based on the T-spherical hesitant fuzzy sets

A Al-Quran - IEEE access, 2021 - ieeexplore.ieee.org
In this paper, we first introduce the concept of T-spherical hesitant fuzzy set (T-SHFS) on the
basis of the combination of T-spherical fuzzy sets (T-SFSs) and hesitant fuzzy sets (HFSs) …

Sentiment analysis for TikTok review using VADER sentiment and SVM model

M Isnan, GN Elwirehardja, B Pardamean - Procedia Computer Science, 2023 - Elsevier
TikTok, a social networking site for uploading short videos, has become one of the most
popular. Despite this, not all users are happy with the app; there are criticisms and …

[HTML][HTML] Emotion quantification and classification using the neutrosophic approach to deep learning

M Sharma, I Kandasamy, WB Vasantha - Applied Soft Computing, 2023 - Elsevier
Advancements in the rapidly evolving specialization of deep learning have aided in
improving several natural language understanding tasks. Sentiment and emotion …

Enhancing the Prediction of Stock Market Movement Using Neutrosophic-Logic-Based Sentiment Analysis

BA Abdelfattah, SM Darwish, SM Elkaffas - Journal of Theoretical and …, 2024 - mdpi.com
Social media platforms have allowed many people to publicly express and disseminate their
opinions. A topic of considerable interest among researchers is the impact of social media …

An opinion mining approach to handle perspectivism and ambiguity: Moving toward neutrosophic logic

R Essameldin, AA Ismail, SM Darwish - IEEE Access, 2022 - ieeexplore.ieee.org
One main incentive for the utilization of opinion mining (OM) in social media is the
impossibility of manually analyzing millions of opinions. However, applying OM for decision …