Rating the crisis of online public opinion using a multi-level index system

F Meng, X Xiao, J Wang - arXiv preprint arXiv:2207.14740, 2022 - arxiv.org
Online public opinion usually spreads rapidly and widely, thus a small incident probably
evolves into a large social crisis in a very short time, and results in a heavy loss in credit or …

A Systematic Survey on Deep Neural Networks for Sentiment Analysis

P Yadav, I Kashyap, BS Bhati - 2023 10th International …, 2023 - ieeexplore.ieee.org
Sentiment analysis is a powerful approach for processing, analysing, speculating, and
summarising unstructured content to convert it into reliable information. With the increasing …

Utilizing Deep Learning Models (RNN, LSTM, CNN-LSTM, and Bi-LSTM) for Arabic Text Classification

A Al-Qerem, M Raja, S Taqatqa, MRA Sara - … -Augmented Digital Twins …, 2024 - Springer
With the increase in the number of Internet users, the amount of data has increased
dramatically. Millions of texts are written daily in most fields, whether cultural, scientific …

[PDF][PDF] Aspect-Based Sentiment Analysis using Machine Learning and Deep Learning Approaches

D Kumar, A Gupta, VK Gupta, A Gupta - researchgate.net
Sentiment analysis (SA) is also known as opinion mining, it is the process of gathering and
analyzing people's opinions about a particular service, good, or company on websites like …

[PDF][PDF] SENTIMENT ANALYSIS METHODS FOR CUSTOMER REVIEW OF INDONESIA E-COMMERCE

D Purnamasari, AB Aji, S Madenda, IM Wiryana… - ijicic.org
Starting from 2020, many countries are affected by COVID-19 pandemic. E-commerce is one
of the platforms that increases its use in this pandemic condition, and provides features such …