Fuzzy rule based unsupervised sentiment analysis from social media posts
S Vashishtha, S Susan - Expert Systems with Applications, 2019 - Elsevier
In this paper, we compute the sentiment of social media posts using a novel set of fuzzy
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …
Artificial neural networks (ANN), MARS, and adaptive network-based fuzzy inference system (ANFIS) to predict the stress at the failure of concrete with waste steel slag …
NS Piro, A Mohammed, SM Hamad… - Neural Computing & …, 2023 - search.proquest.com
Concrete is a very flexible composite material that is extensively employed in the building
industry. Steel slag is a waste material produced during steelmaking. It is formed during the …
industry. Steel slag is a waste material produced during steelmaking. It is formed during the …
Quantitative health monitoring of bolted joints using a piezoceramic actuator–sensor
S Ritdumrongkul, M Abe, Y Fujino… - Smart materials and …, 2003 - iopscience.iop.org
The non-destructive evaluation technique using a piezoceramic (PZT) as an actuator–
sensor has a potential to efficiently detect structural damage. In this technique, a PZT …
sensor has a potential to efficiently detect structural damage. In this technique, a PZT …
Security enhancement in healthcare cloud using machine learning
M Marwan, A Kartit, H Ouahmane - Procedia Computer Science, 2018 - Elsevier
Image processing requires sophisticated platform because it is usually very expensive in
terms of memory space and computational time. Consequentely, it is important to adopt …
terms of memory space and computational time. Consequentely, it is important to adopt …
TBM performance prediction developing a hybrid ANFIS-PNN predictive model optimized by imperialism competitive algorithm
A reliable and accurate prediction of the tunnel boring machine (TBM) performance can
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
Fuzzy logic in insurance
AF Shapiro - Insurance: Mathematics and Economics, 2004 - Elsevier
The insurance industry has numerous areas with potential applications for fuzzy logic (FL).
These include classification, underwriting, projected liabilities, fuzzy future and present …
These include classification, underwriting, projected liabilities, fuzzy future and present …
A novel symbiotic organisms search algorithm for congestion management in deregulated environment
In today's competitive electricity market, managing transmission congestion in deregulated
power system has created challenges for independent system operators to operate the …
power system has created challenges for independent system operators to operate the …
Virtual grid-based rendezvous point and sojourn location selection for energy and delay efficient data acquisition in wireless sensor networks with mobile sink
A Mehto, S Tapaswi, KK Pattanaik - Wireless Networks, 2020 - Springer
Rendezvous points (RPs) based data acquisition methods are widely accepted as the
solution for data acquisition delay/latency problem. In these methods, RPs are a subset of …
solution for data acquisition delay/latency problem. In these methods, RPs are a subset of …
Fuzzy interpretation of word polarity scores for unsupervised sentiment analysis
S Vashishtha, S Susan - 2020 11th international conference on …, 2020 - ieeexplore.ieee.org
Sentiment or Opinion Mining aims to determine the polarity of people's opinions, feeling
towards any product, service, event or any individual. One of the most popular technique …
towards any product, service, event or any individual. One of the most popular technique …
Computational intelligence: an introduction
J Fulcher - Computational intelligence: a compendium, 2008 - Springer
The Artificial Intelligence field continues to be plagued by what can only be described as
'bold promises for the future syndrome', often perpetrated by researchers who should know …
'bold promises for the future syndrome', often perpetrated by researchers who should know …