A review of approaches for topic detection in Twitter

Z Mottaghinia, MR Feizi-Derakhshi… - … of Experimental & …, 2021 - Taylor & Francis
Online social media such as Twitter are growing so rapidly. Recently, Twitter has become
one of the popular microblogging services on the Internet. It lets millions of users to …

RFM model customer segmentation based on hierarchical approach using FCA

C Rungruang, P Riyapan, A Intarasit… - Expert Systems with …, 2024 - Elsevier
Nowadays, every business focuses on customer relationship management (CRM) to deliver
their customers better services and to establish a competitive advantage over their …

[HTML][HTML] Lexicon-based sentiment analysis in texts using formal concept analysis

M Ojeda-Hernández, D López-Rodríguez… - International Journal of …, 2023 - Elsevier
In this paper, we present a novel approach for sentiment analysis that uses Formal Concept
Analysis (FCA) to create dictionaries for classification. Unlike other methods that rely on pre …

A novel topic clustering algorithm based on graph neural network for question topic diversity

Y Wu, X Wang, W Zhao, X Lv - Information Sciences, 2023 - Elsevier
In community question answering, many questions have no topic labeling or the topic
labeling is very diverse, which has become the biggest obstacle to building the bridge …

[HTML][HTML] HESML: A scalable ontology-based semantic similarity measures library with a set of reproducible experiments and a replication dataset

JJ Lastra-Díaz, A García-Serrano, M Batet… - Information Systems, 2017 - Elsevier
This work is a detailed companion reproducibility paper of the methods and experiments
proposed by Lastra-Díaz and García-Serrano in (2015, 2016)[56–58], which introduces the …

A semi-supervised concept-cognitive computing system for dynamic classification decision making with limited feedback information

Y Mi, Z Wang, P Quan, Y Shi - European Journal of Operational Research, 2024 - Elsevier
In dynamic environments, making classification decisions based on classical intelligent
decision support systems is a challenge, as the classification performance of decision …

Wide-grained capsule network with sentence-level feature to detect meteorological event in social network

K Shi, C Gong, H Lu, Y Zhu, Z Niu - Future Generation Computer Systems, 2020 - Elsevier
In recent years, frequent meteorological disasters have caused great concern to people. It is
particularly important to timely detect the meteorological events and release early warning …

Text clustering as classification with llms

C Huang, G He - arXiv preprint arXiv:2410.00927, 2024 - arxiv.org
Text clustering remains valuable in real-world applications where manual labeling is cost-
prohibitive. It facilitates efficient organization and analysis of information by grouping similar …

A graphical decomposition and similarity measurement approach for topic detection from online news

K Xiao, Z Qian, B Qin - Information Sciences, 2021 - Elsevier
Topic detection aims to discover valuable topics from the massive online news. It can help
people to capture what is happening in real world and alleviate the burden of information …

A novel clustering algorithm based on the natural reverse nearest neighbor structure

QZ Dai, ZY Xiong, J Xie, XX Wang, YF Zhang… - Information Systems, 2019 - Elsevier
Cluster analysis plays an important role in identifying the natural structure of the target
dataset. It has been widely used in many fields, such as pattern recognition, machine …