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Data-driven techno-socio co-evolution analysis based on a topic model and a hidden Markov model
Recently, as the short life cycle of technology entails the introduction of various new
technologies, the importance of technological evolution has been emphasized. Although …
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 …
(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
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 …
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
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 …
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
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 …
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 …
experience and tailored offer for the customers, the knowledge of their preferences and …
Big data and semantics management system for computer networks
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 …
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 …
the category of a document. In the simplest settings, we adopt the bag-of-words model and …
Social networks analysis based on topic modeling
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 …
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
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 …
online communities. The question is how to discover what communities users belong to or …