Sarcasm detection using machine learning algorithms in Twitter: A systematic review
Recognizing both literal and figurative meanings is crucial to understanding users' opinions
on various topics or events in social media. Detecting the sarcastic posts on social media …
on various topics or events in social media. Detecting the sarcastic posts on social media …
A lexicon-based approach to detecting suicide-related messages on Twitter
Expression of emotion is an indicator that can contribute to the detection of mental health-
related disorders. Suicide causes death to many people around the globe, and despite the …
related disorders. Suicide causes death to many people around the globe, and despite the …
[HTML][HTML] Prediction the dynamic viscosity of MWCNT-Al2O3 (30: 70)/Oil 5W50 hybrid nano-lubricant using Principal Component Analysis (PCA) with Artificial Neural …
In this study, the prediction of dynamic viscosity (µ nf) of MWCNT-Al 2 O 3 (30: 70)/Oil 5W50
hybrid nano-lubricant using Artificial Neural Network (ANN) is performed. The objective of …
hybrid nano-lubricant using Artificial Neural Network (ANN) is performed. The objective of …
Application of artificial intelligence and using optimal ANN to predict the dynamic viscosity of Hybrid nano-lubricant containing Zinc Oxide in Commercial oil
MH Esfe, R Esmaily, ST Mahabadi, D Toghraie… - Colloids and Surfaces A …, 2022 - Elsevier
The objective of present research is to investigate the effect of temperature, the volume
fraction of nanoparticles (φ) and shear rate (γ ̇) to predict the dynamic viscosity (µ nf) of …
fraction of nanoparticles (φ) and shear rate (γ ̇) to predict the dynamic viscosity (µ nf) of …
Intelligent approaches for predicting failure of water mains
Water mains are indispensable infrastructures in many countries around the world. Several
factors may be responsible for the failure of these essential pipelines that negatively impact …
factors may be responsible for the failure of these essential pipelines that negatively impact …
Characterizing suicide ideation by using mental disorder features on microblogs: A machine learning perspective
Despite the success of psychological and clinical methods, psychological studies revealed
that the number of individuals exhibiting suicide ideation has highly increased in the recent …
that the number of individuals exhibiting suicide ideation has highly increased in the recent …
Data mining algorithms for water main condition prediction—comparative analysis
Accurate prediction of water mains condition is critical for effective rehabilitation planning.
Advances in machine learning techniques can improve condition predictions. This paper …
Advances in machine learning techniques can improve condition predictions. This paper …
Influence of personality traits on users' viewing behaviour
Different views on the role of personal factors in moderating individual viewing behaviour
exist. This study examined the impact of personality traits on individual viewing behaviour of …
exist. This study examined the impact of personality traits on individual viewing behaviour of …
Early-stage pregnancy recognition on microblogs: Machine learning and lexicon-based approaches
Pregnancy carries high medical and psychosocial risks that could lead pregnant women to
experience serious health consequences. Providing protective measures for pregnant …
experience serious health consequences. Providing protective measures for pregnant …
[PDF][PDF] Sarcasm Detection in Tweets: A Feature-based Approach using Supervised Machine Learning Models
Sarcasm (ie, the use of irony to mock or convey contempt) detection in tweets and other
social media platforms is one of the problems facing the regulation and moderation of social …
social media platforms is one of the problems facing the regulation and moderation of social …