Data-driven techno-socio co-evolution analysis based on a topic model and a hidden Markov model

H Jang, S Lee, B Yoon - Technovation, 2023 - Elsevier
Recently, as the short life cycle of technology entails the introduction of various new
technologies, the importance of technological evolution has been emphasized. Although …

[PDF][PDF] Improving text categorization by using a topic model

W Sriurai - Advanced Computing, 2011 - Citeseer
Most text categorization algorithms represent a document collection as a Bag of Words
(BOW). The BOW representation is unable to recognize synonyms from a given term set and …

LDA-AdaBoost. MH: Accelerated AdaBoost. MH based on latent Dirichlet allocation for text categorization

B Al-Salemi, MJ Ab Aziz… - Journal of Information …, 2015 - journals.sagepub.com
AdaBoost. MH is a boosting algorithm that is considered to be one of the most accurate
algorithms for multilabel classification. It works by iteratively building a committee of weak …

Topic modelling of festival-visitors' opinions: A case study of Sziget Festival

M Hinek, Á Papp-Váry - European Journal of Tourism Research, 2024 - ejtr.vumk.eu
Abstract The Sziget Festival is one of Europe's biggest music events, held every August on
the Óbuda Island in Budapest. The elements of festival experiences were analysed through …

ADR-SPLDA: Activity discovery and recognition by combining sequential patterns and latent Dirichlet allocation

B Chikhaoui, S Wang, H Pigot - Pervasive and Mobile Computing, 2012 - Elsevier
This paper presents ADR-SPLDA, an unsupervised model for human activity discovery and
recognition in pervasive environments. The activities are encoded in sequences recorded by …

[PDF][PDF] Behavior-based customer demography prediction in E-commerce

V Urbancokova, M Kompan, Z Trebulova… - Journal of Electronic …, 2020 - jecr.org
The popularity of e-commerce is increasing day-by-day. In order to provide a seamless
experience and tailored offer for the customers, the knowledge of their preferences and …

Big data and semantics management system for computer networks

B Mokhtar, M Eltoweissy - Ad Hoc Networks, 2017 - Elsevier
Abstract We define “Big Networks” as those that generate big data and can benefit from big
data management in their operations. Examples of big networks include the current Internet …

Using latent Dirichlet allocation to improve text classification performance of support vector machine

YH Chen, SF Li - 2016 IEEE Congress on Evolutionary …, 2016 - ieeexplore.ieee.org
Text classification is an important task in natural language processing that aims to determine
the category of a document. In the simplest settings, we adopt the bag-of-words model and …

Social networks analysis based on topic modeling

M Nguyen, T Ho, P Do - … Innovation, and Vision for Future (RIVF …, 2013 - ieeexplore.ieee.org
Understanding the discussed content in social networks is an uneasy problem but brings a
lot of advantages for different fields, such as marketing, education, social trends, security. To …

Discovering communities of users on social networks based on topic model combined with Kohonen network

T Ho, P Do - … on Knowledge and Systems Engineering (KSE), 2015 - ieeexplore.ieee.org
Interaction among users on social networks through messages and interested topics forms
online communities. The question is how to discover what communities users belong to or …