Sentiment analysis in social media data for depression detection using artificial intelligence: a review

NV Babu, EGM Kanaga - SN computer science, 2022 - Springer
Sentiment analysis is an emerging trend nowadays to understand people's sentiments in
multiple situations in their quotidian life. Social media data would be utilized for the entire …

Systematic reviews in sentiment analysis: a tertiary study

A Ligthart, C Catal, B Tekinerdogan - Artificial Intelligence Review, 2021 - Springer
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

Artificial intelligence for edge service optimization in internet of vehicles: A survey

X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …

[HTML][HTML] Sensitivity analysis index to determine the optimal location of multi-objective UPFC for improvement of power quality parameters

M Zand, MA Nasab, S Padmanaban, PK Maroti… - Energy Reports, 2023 - Elsevier
Today, advanced technologies are used for the reliable operation of power systems. In order
to access a reliable and practical function in the systems, it is necessary to use precise …

A MapReduce opinion mining for COVID-19-related tweets classification using enhanced ID3 decision tree classifier

F Es-Sabery, K Es-Sabery, J Qadir… - IEEE …, 2021 - ieeexplore.ieee.org
Opinion Mining (OM) is a field of Natural Language Processing (NLP) that aims to capture
human sentiment in the given text. With the ever-spreading of online purchasing websites …

An energy aware resource allocation based on combination of CNN and GRU for virtual machine selection

Z Khodaverdian, H Sadr, SA Edalatpanah… - Multimedia tools and …, 2024 - Springer
The use of cloud computing service models is rapidly increasing, but inefficient resource
usage in cloud data centers can lead to great energy consumption and costs. To address …

Pattern separation network based on the hippocampus activity for handwritten recognition

N Modhej, A Bastanfard, M Teshnehlab… - IEEE …, 2020 - ieeexplore.ieee.org
Reaching high accuracy in handwritten character recognition is an essential challenge since
it is widely used in many fields such as signature analysis and forgery detection. Recently …

A survey on deep reinforcement learning architectures, applications and emerging trends

S Balhara, N Gupta, A Alkhayyat, I Bharti… - IET …, 2022 - Wiley Online Library
From a future perspective and with the current advancements in technology, deep
reinforcement learning (DRL) is set to play an important role in several areas like …

Social network analysis using deep learning: applications and schemes

AM Abbas - Social Network Analysis and Mining, 2021 - Springer
Online social networks (OSNs) are part of daily life of human beings. Millions of users are
connected through online social networks. Due to very large number of users and huge …

Prediction of apple slices drying kinetic during infrared-assisted-hot air drying by deep neural networks

X Huang, Y Li, X Zhou, J Wang, Q Zhang, X Yang… - Foods, 2022 - mdpi.com
The effects of temperature, air velocity, and infrared radiation distances on the drying
characteristics and quality of apple slices were investigated using infrared-assisted-hot air …