Detecting mental distresses using social behavior analysis in the context of covid-19: A survey

S Dhelim, L Chen, SK Das, H Ning, C Nugent… - ACM Computing …, 2023 - dl.acm.org
Online social media provides a channel for monitoring people's social behaviors from which
to infer and detect their mental distresses. During the COVID-19 pandemic, online social …

A survey on event and subevent detection from microblog data towards crisis management

SR Chowdhury, S Basu, U Maulik - … Journal of Data Science and Analytics, 2022 - Springer
Social media data analysis is a popular research domain since the last decade. Detecting
the events and sub-events from social media posts that require special attention is one of the …

A decision‐making algorithm for online shop** using deep‐learning–based opinion pairs mining and q‐rung orthopair fuzzy interaction Heronian mean operators

Z Yang, T Ouyang, X Fu, X Peng - International journal of …, 2020 - Wiley Online Library
In the process of online shop**, consumers usually compare the review information of the
same product in different e‐commerce platforms. The sentiment orientation of online reviews …

A Suicidal Ideation Detection Framework on Social Media using Machine Learning and Genetic Algorithms

A Basyouni, H Abdelkader, WS Elkilani, A Alharbi… - IEEE …, 2024 - ieeexplore.ieee.org
Suicide is a serious problem that affects modern societies all over the world, and its
prevention is critical. Suicidal ideas are influenced by a variety of risk factors, such as …

Evidential fine-grained event localization using Twitter

ZK Shahraki, A Fatemi, HT Malazi - Information Processing & Management, 2019 - Elsevier
The widespread popularity and worldwide application of social networks have raised
interest in the analysis of content created on the networks. One such analytical application …

Online Product Decision Support Using Sentiment Analysis and Fuzzy Cloud-Based Multicriteria Model Through Multiple E-Commerce Platforms

Z Yang, Q Li, V Charles, B Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The competitive landscape of multiple e-commerce platforms and the vast amount of product
reviews associated with these platforms have supported both consumers' online shop** …

Teaching Students to Think--Faculty Recommendations for Teaching Evaluations Employing Automated Content Analysis.

N Davidovitch, E Eckhaus - International Journal of Higher Education, 2019 - ERIC
Many studies have been conducted on teaching evaluations completed by students and on
myths and facts concerning these evaluations performed by students at academic …

Sem-TED: semantic twitter event detection and adapting with news stories

Z Akhgari, M Malekimajd… - 2022 8th International …, 2022 - ieeexplore.ieee.org
Public acceptance of social networks has made the analysis of these networks essential.
Event detection in these networks including Twitter is one of the most momentous subjects in …

Tedgram: Twitter event detection using graphbased methods

Z Akhgari, M Malekimajd… - 2022 8th International …, 2022 - ieeexplore.ieee.org
The proliferation of social networks has made researchers turn to the analysis of these
networks. Event detection is one of the important topics in the analysis of social networks …

Hierarchical features-based targeted aspect extraction from online reviews

J He, L Li, Y Wang, X Wu - Intelligent Data Analysis, 2021 - content.iospress.com
With the prevalence of online review websites, large-scale data promote the necessity of
focused analysis. This task aims to capture the information that is highly relevant to a specific …