Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

TRG-DAtt: the target relational graph and double attention network based sentiment analysis and prediction for supporting decision making

F Chen, J Xia, H Gao, H Xu, W Wei - ACM Transactions on Management …, 2021 - dl.acm.org
The management of public opinion and the use of big data monitoring to accurately judge
and verify all kinds of information are valuable aspects in the enterprise management …

[HTML][HTML] Comparative study of various approaches, applications and classifiers for sentiment analysis

P Sudhir, VD Suresh - Global Transitions Proceedings, 2021 - Elsevier
In today's day and age, there are billions of volumes of textual content being generated
everywhere. In-apps messages like WhatsApp, Telegram, social media sites like Facebook …

[PDF][PDF] Analisis Sentimen Transportasi Online Menggunakan Support Vector Machine Berbasis Particle Swarm Optimization

VKS Que, A Iriani, HD Purnomo - … https://doi. org …, 2020 - download.garuda.kemdikbud.go.id
Phenomenon of online transportation with some problems like crime and fraud in Indonesia
triggers pros and cons to Twitter users. This study aims to find out sentiments of the society …

Sentimental Analysis Using Supervised Learning Algorithms

D Shah, A Singh, SS Prasad - 2022 3rd International …, 2022 - ieeexplore.ieee.org
The humongous growth of online-grounded operations, similar to forums and blogs, led to
commentary and reviews related to diurnal conditioning. Sentimental analysis is the process …

Variable convolution and pooling convolutional neural network for text sentiment classification

M Dong, Y Li, X Tang, J Xu, S Bi, Y Cai - IEEE access, 2020 - ieeexplore.ieee.org
With the popularity of the internet, the expression of emotions and methods of
communication are becoming increasingly abundant, and most of these emotions are …

Innovative Forward fusion feature selection algorithm for sentiment analysis using supervised classification

AM Mostafa, M Aljasir, M Alruily, A Alsayat, M Ezz - Applied Sciences, 2023 - mdpi.com
Sentiment analysis is considered one of the significant trends of the recent few years. Due to
the high importance and increasing use of social media and electronic services, the need for …

[PDF][PDF] Fault diagnosis in robot manipulators using svm and knn

D Maincer, Y Benmahamed, M Mansour… - … Automation & Soft …, 2023 - academia.edu
In this paper, Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) based
methods are to be applied on fault diagnosis in a robot manipulator. A comparative study …

A sentiment reporting framework for major city events: Case study on the China-United States trade war

M AlKhatib, M El Barachi, A AleAhmad… - Journal of Cleaner …, 2020 - Elsevier
Smart cities are conceptualized as a vehicle for sustainable urban development and a
means to deliver high quality of life for residents. One of the core functions of a smart city …

Analisis Sentimen Review Pelanggan Restoran Menggunakan Algoritma Support Vector Machine Dan K-Nearest Neighbor

BS Amalia, Y Umaidah… - SITEKIN: Jurnal Sains …, 2021 - ejournal.uin-suska.ac.id
Pada masa pandemi adanya virus corona ini hampir sebagian orang berdiam diri dirumah
untuk mematuhi peraturan yang sudah dirancang oleh pemerintah. Bahkan sebagian orang …