A survey on the use of association rules mining techniques in textual social media

JA Diaz-Garcia, MD Ruiz, MJ Martin-Bautista - Artificial Intelligence …, 2023 - Springer
The incursion of social media in our lives has been much accentuated in the last decade.
This has led to a multiplication of data mining tools aimed at obtaining knowledge from these …

Sentiment analysis using part-of-speech-based feature extraction and game-theoretic rough sets

Y Chen, JT Yao - 2021 International Conference on Data …, 2021 - ieeexplore.ieee.org
Sentiment analysis, one of the most trending natural language processing tasks, is used to
mine opinions or sentiments from a given text. Two significant challenges of sentiment …

Tracing the emotional roadmap of depressive users on social media through sequential pattern mining

FT Giuntini, KLP De Moraes, MT Cazzolato… - IEEE …, 2021 - ieeexplore.ieee.org
Depression is one of the most growing health disorders, generating social and economic
problems. The affective computing models focus on analyzing unique user posts, not …

An association rule mining approach to discover demand and supply patterns based on Thai social media data

T Tanantong, S Ramjan - … of Knowledge and Systems Science (IJKSS …, 2021 - igi-global.com
In the digital age, social media technology has an important role as a communication
platform for interpersonal interactions in the online virtual world. In addition, social media …

Sentiment Analysis using Term based Method for Customers' Reviews in Amazon Product

NNA Sjaif - … Journal of Advanced Computer Science and …, 2022 - search.proquest.com
Customers' review in Amazon platform plays an important role for making online purchase
decision making, however the reviews are snowballing in E-commerce day by day. The …

A Flexible Big Data System for Credibility-Based Filtering of Social Media Information According to Expertise

JA Diaz-Garcia, K Gutiérrez-Batista… - International Journal of …, 2024 - Springer
Nowadays, social networks have taken on an irreplaceable role as sources of information.
Millions of people use them daily to find out about the issues of the moment. This success …

A Methodological Proposal to Evaluate Journalism Texts Created for Depopulated Areas Using AI

LM Calvo Rubio, MJ Ufarte Ruiz… - Journalism and Media, 2024 - mdpi.com
The public service media Radio Televisión Española (RTVE) conducted a proof-of-concept
study to automatically generate reports on the results of the local elections of 28 May 2023 in …

Sentiment analysis of COVID-19 public activity restriction (PPKM) impact using BERT method

AS Girsang - arXiv preprint arXiv:2301.00096, 2022 - arxiv.org
Covid-19 has grown rapidly in all parts of the world and is considered an international
disaster because of its wide-reaching impact. The impact of Covid-19 has spread to …

Mining emotion-aware sequential rules at user-level from micro-blogs

MP Skenduli, M Biba, C Loglisci, M Ceci… - Journal of Intelligent …, 2021 - Springer
Social Media have enabled users to keep inter-personal relationships, but also to voice
personal sensations, emotions and feelings. The recent literature reports on the potential of …

NLP-Based Sentiment Analysis with Machine Learning Model for Election Campaign—A Survey

SS Sangle, RR Sedamkar - Congress on Intelligent Systems, 2022 - Springer
The election campaign provides the evaluation and experience of the voters. The analysis of
an election campaign comprises the different twists and turns to monitor and evaluate the …