|
|
|
|
|
Carlos Vargas and Hiram Ponce
In this paper we propose the Recurrent Embedded Topic Model (RETM) which is a modification of the Embedded Topic Modelling (ETM) by reusing the Continuous Bag of Words (CBOW) that the model had implemented and applying it to a recurrent neural network (L...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiyoung Ha, Seunghyun Lee and Sangtae Kim
This study aimed to verify the influence relationship between the news articles on onions produced in Korea and the consumer selling price of onions. The analysis methods were the LDA topic modeling technique and the multiple regression analysis. As a re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abderahman Rejeb, Karim Rejeb, Steve Simske and John G. Keogh
|
|
|
|
|
|
|
|
|
|
|
Gabriele Papadia, Massimo Pacella and Vincenzo Giliberti
This paper focuses on the automatic analysis of conversation transcriptions in the call center of a customer care service. The goal is to recognize topics related to problems and complaints discussed in several dialogues between customers and agents. Our...
ver más
|
|
|
|
|
|
|
|
|
|
|
Elena Quatrini, Silvia Colabianchi, Francesco Costantino and Massimo Tronci
In the field of industrial process monitoring, scholars and practitioners are increasing interest in time-varying processes, where different phases are implemented within an unknown time frame. The measurement of process parameters could inform about the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xi Yu, Bing Ouyang and Jose C. Principe
Deep neural networks provide remarkable performances on supervised learning tasks with extensive collections of labeled data. However, creating such large well-annotated data sets requires a considerable amount of resources, time and effort, especially f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alessia M. R. Tortora, Valentina Di Pasquale, Chiara Franciosi, Salvatore Miranda and Raffaele Iannone
Maintenance contributes to gaining high business performance, guarantees system availability and reliability as well as safe and sustainable operations. Maintenance activity effectiveness depends on competences and the skills of operators whose performan...
ver más
|
|
|
|
|
|
|
|
|
|
|
Almed Hamzah,Ahmad Fathan Hidayatullah,Andhika Giri Persada
Pág. pp. 4 - 14
This paper reports a map of identified topics from mobile learning research. Mobile learning is an emerging paradigm in an educational context as its adoption in an educational institution is growing rapidly. The students are already using and familiar w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Michelle H. Busch, Katie H. Costigan, Ken M. Fritz, Thibault Datry, Corey A. Krabbenhoft, John C. Hammond, Margaret Zimmer, Julian D. Olden, Ryan M. Burrows, Walter K. Dodds, Kate S. Boersma, Margaret Shanafield, Stephanie K. Kampf, Meryl C. Mims, Michael T. Bogan, Adam S. Ward, Mariana Perez Rocha, Sarah Godsey, George H. Allen, Joanna R. Blaszczak, C. Nathan Jones and Daniel C. Allenadd Show full author list remove Hide full author list
Rivers that cease to flow are globally prevalent. Although many epithets have been used for these rivers, a consensus on terminology has not yet been reached. Doing so would facilitate a marked increase in interdisciplinary interest as well as critical n...
ver más
|
|
|
|
|
|
|
|
|
|
|
Theodore T. Allen, Hui Xiong and Shih-Hsien Tseng
This paper proposes a new method to generate edited topics or clusters to analyze images for prioritizing quality issues. The approach is associated with a new way for subject matter experts to edit the cluster definitions by ?zapping? or ?boosting? pixe...
ver más
|
|
|
|
|
|
|
|
|
|
In today’s knowledge-based society, industry-university cooperation (IUC) is recognized as an effective tool for technological innovation. Many studies have shown that selecting the right partner is essential to the success of the IUC. Although the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuan Wang, Bofeng Zhang and Furong Chang
The rapid development of online social networks has allowed users to obtain information, communicate with each other and express different opinions. Generally, in the same social network, users tend to be influenced by each other and have similar views. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ewerton L. S. Oliveira, Davide Orrù, Luca Morreale, Tiago P. Nascimento and Andrea Bonarini
Physically-Interactive RoboGames (PIRG) are an emerging application whose aim is to develop robotic agents able to interact and engage humans in a game situation. In this framework, learning a model of players? activity is relevant both to understand the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Isibor Kennedy Ihianle, Usman Naeem, Syed Islam and Abdel-Rahman Tawil
Accurate recognition of Activities of Daily Living (ADL) plays an important role in providing assistance and support to the elderly and cognitively impaired. Current knowledge-driven and ontology-based techniques model object concepts from assumptions an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gabriele Papadia, Massimo Pacella, Massimiliano Perrone and Vincenzo Giliberti
The paper deals with the analysis of conversation transcriptions between customers and agents in a call center of a customer care service. The objective is to support the analysis of text transcription of human-to-human conversations, to obtain reports o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Saravanan Sagadevan, Nurul Hashimah Ahamed Hassain Malim and Mohd Heikal Husin
There is a growing interest in topic modeling to decipher the valuable information embedded in natural texts. However, there are no studies training an unsupervised model to automatically categorize the social networks (SN) messages according to personal...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nils Horn, Fabian Gampfer and Rüdiger Buchkremer
As the amount of scientific information increases steadily, it is crucial to improve fast-reading comprehension. To grasp many scientific articles in a short period, artificial intelligence becomes essential. This paper aims to apply artificial intellige...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kyung-Jun Lee, Chan Hyeok Yun, Ilsun Rhiu and Myung Hwan Yun
Accidents related to electric kick scooters, which are widespread globally, are increasing rapidly. However, most of the research on them concentrates on reporting accident status and injury patterns. Therefore, while it is necessary to analyze safety is...
ver más
|
|
|
|
|
|
|
|
|
|
|
Soumaya Lamrharia,Hamid Elghazi,Abdellatif El Faker
Today, understanding customer satisfaction is becoming a difficult and complex task for companies due to the explosive growth of the voice of the customer in online reviews. This has pushed companies to rethink their business strategies and resort to bus...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nina Rizun, Yurii Taranenko and Wojciech Waloszek
The research presents the methodology of improving the accuracy in sentiment classification in the light of modelling the latent semantic relations (LSR). The objective of this methodology is to find ways of eliminating the limitations of the discriminan...
ver más
|
|
|
|
|
|