scholarly journals A novel model for analyzing online customer experience in hotel services approach by topic modeling

2020 ◽  
Vol 4 (3) ◽  
pp. First
Author(s):  
Ho Van Nguyen ◽  
Ho Trung Thanh
Keyword(s):  
Decision Making ◽  
Topic Modeling ◽  
Hospitality Industry ◽  
Latent Dirichlet Allocation ◽  
The Internet ◽  
Coherence Score ◽  
Management And Development ◽  
Hospitality Sector ◽  
Novel Model ◽  
Support Decision Making

Recently, with the growth of technology and the Internet, customers can easily give their opinions and feedback about products and services on websites or social media. This information is stored in text form, and is a huge source of data to explore. In order to continue developing to meet customers needs, businesses need to gain customers' insights that customers discuss and concern. In this study, we firstly collected a corpus of 99,322 customer comments and reviews written in English from some e-commerce websites in the hospitality industry. After pre-processing the collected data, our team conducted experiments on this corpus and chose the best number of topics (K) was chosen by Perplexity and Coherence Score measurements as input parameters for the model. Finally, experiment on the corpus was used based on the Latent Dirichlet Allocation (LDA) model with K coefficient to explore the topic. The model results found hidden topics with a corresponding list of keywords, reflecting the issues that customers are interested in. Applying empirical results from the model will support decision making to improve products and services in business as well as in the management and development of businesses in the hospitality sector.

scholarly journals Topic modeling for analyzing online reviews in hotel sector

2020 ◽  
Vol 4 (4) ◽  
pp. First
Author(s):  
Nguyen Van Ho ◽  
Ho Trung Thanh
Keyword(s):  
Topic Modeling ◽  
Hospitality Industry ◽  
Latent Dirichlet Allocation ◽  
Online Reviews ◽  
The Internet ◽  
Coherence Score ◽  
Management And Development ◽  
Hotel Sector ◽  
Textual Form ◽  
Support Decision Making

Recently, with the growth of technology and the Internet, customers can easily create their opinions and feedbacks about products and services of hotels on websites or social media. This information is stored in textual form, and is a huge source of data to explore. In order to continue developing to meet customers' needs, businesses need to gain customers' insights that customers discuss and concern. In this study, we firstly collected a corpus of 26,482 customer comments and reviews written in English from some e-commerce websites in the hospitality industry. After preprocessing the collected data, our team conducted experiments on this corpus and chose the best number of topics (K) by Coherence Score measurements as input parameters for the model. Finally, experiment on the corpus according to the Latent Dirichlet Allocation (LDA) model with K coefficient to explore the topic. The model results found hidden topics with the corresponding list of keywords, reflecting the issues that customers are interested in. Applying empirical results from the model will support decision making to improve products and services in business as well as in the management and development of businesses in the hotel sector.

Socio-Cognitive Model of Trust

2009 ◽  
pp. 2316-2323
Author(s):  
Rino Falcone ◽  
Cristiano Castelfranchi
Keyword(s):  
Decision Making ◽  
Cognitive Model ◽  
Frame Of Reference ◽  
The Other ◽  
The Internet ◽  
The Third ◽  
Interaction Traces ◽  
Cooperative Models ◽  
Support Decision Making

Humans have learned to cooperate in many ways and in many environments, on different tasks, and for achieving different and several goals. Collaboration and cooperation in their more general sense (and, in particular, negotiation, exchange, help, delegation, adoption, and so on) are important characteristics - or better, the most foundational aspects - of human societies (Tuomela, 1995). In the evolution of cooperative models, a fundamental role has been played by diverse constructs of various kinds (purely interactional, technical-legal, organizational, socio-cognitive, etc.), opportunely introduced (or spontaneously emerged) to support decision making in collaborative situations. The new scenarios we are destined to meet in the third millennium transfigure the old frame of reference, in that we have to consider new channels and infrastructures (i.e., the Internet), new artificial entities for cooperating with artificial or software agents, and new modalities of interaction (suggested/imposed by both the new channels and the new entities). In fact, it is changing the identification of the potential partners, the perception of the other agents, the space-temporal context in which interaction happen, the nature of the interaction traces, the kind and role of the authorities and guarantees, etc. For coping with these scenarios, it will be necessary to update the traditional supporting decision-making constructs. This effort will be necessary especially to develop the new cybersocieties in such a way as not to miss some of the important cooperative characteristics that are so relevant in human societies.

Monitoring and evaluating the quality of Web Map Service resources for optimizing map composition over the internet to support decision making

2011 ◽  
Vol 37 (4) ◽  
pp. 485-494 ◽  
Author(s):  
Huayi Wu ◽  
Zhenlong Li ◽  
Hanwu Zhang ◽  
Chaowei Yang ◽  
Shengyu Shen
Keyword(s):  
Decision Making ◽  
The Internet ◽  
Web Map ◽  
Map Service ◽  
Support Decision Making

Socio-Cognitive Model of Trust

2011 ◽  
pp. 3508-3512 ◽  
Author(s):  
Rino Falcone ◽  
Cristiano Castelfranchi
Keyword(s):  
Decision Making ◽  
Cognitive Model ◽  
Frame Of Reference ◽  
The Other ◽  
The Internet ◽  
The Third ◽  
Interaction Traces ◽  
Cooperative Models ◽  
Support Decision Making

Humans have learned to cooperate in many ways and in many environments, on different tasks, and for achieving different and several goals. Collaboration and cooperation in their more general sense (and, in particular, negotiation, exchange, help, delegation, adoption, and so on) are important characteristics - or better, the most foundational aspects - of human societies (Tuomela, 1995). In the evolution of cooperative models, a fundamental role has been played by diverse constructs of various kinds (purely interactional, technical-legal, organizational, sociocognitive, etc.), opportunely introduced (or spontaneously emerged) to support decision making in collaborative situations. The new scenarios we are destined to meet in the third millennium transfigure the old frame of reference, in that we have to consider new channels and infrastructures (i.e., the Internet), new artificial entities for cooperating with artificial or software agents, and new modalities of interaction (suggested/imposed by both the new channels and the new entities). In fact, it is changing the identification of the potential partners, the perception of the other agents, the space-temporal context in which interaction happen, the nature of the interaction traces, the kind and role of the authorities and guarantees, etc. For coping with these scenarios, it will be necessary to update the traditional supporting decision-making constructs. This effort will be necessary especially to develop the new cyber-societies in such a way as not to miss some of the important cooperative characteristics that are so relevant in human societies.

scholarly journals Social-Child-Case Document Clustering based on Topic Modeling using Latent Dirichlet Allocation

2020 ◽  
Vol 14 (2) ◽  
pp. 179
Author(s):  
Nur Annisa Tresnasari ◽  
Teguh Bharata Adji ◽  
Adhistya Erna Permanasari
Keyword(s):  
Social Workers ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
The Past ◽  
Coherence Score ◽  
The Social ◽  
Case Type ◽  
The Right ◽  
All Treatment ◽  
Dirichlet Allocation

Children are the future of the nation. All treatment and learning they get would affect their future. Nowadays, there are various kinds of social problems related to children.  To ensure the right solution to their problem, social workers usually refer to the social-child-case (SCC) documents to find similar cases in the past and adapting the solution of the cases. Nevertheless, to read a bunch of documents to find similar cases is a tedious task and needs much time. Hence, this work aims to categorize those documents into several groups according to the case type. We use topic modeling with Latent Dirichlet Allocation (LDA) approach to extract topics from the documents and classify them based on their similarities. The Coherence Score and Perplexity graph are used in determining the best model. The result obtains a model with 5 topics that match the targeted case types. The result supports the process of reusing knowledge about SCC handling that ease the finding of documents with similar cases

scholarly journals Decision Making in Internet of Things (IoT) : A Systematic Literature Review

2020 ◽  
Vol 5 (1) ◽  
pp. 51-65
Author(s):  
Hespri Yomeldi
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Research Question ◽  
Fog Computing ◽  
The Internet ◽  
New Paradigm ◽  
Decision Making Factors ◽  
Decision Making System ◽  
Machine Communication ◽  
Support Decision Making

Today’s internet technologies support everything that human do. By using integrated technologies the things that connected to internet can provide data. The Internet of Things (IoT) is the new paradigm in provide the data without human communicated. The IoT system support machine to machine communication that can be used to develop smart services that can generate a lot of data. This exponential data can support a decision making. The decision making system depend on availability and reliability of data. This study focus to how the Internet of Thing support decision making system. With a survey of literature to understand the trends, models and factors of decision making in IoT based on previous research. This survey following step by conduct the research question (RQ), then search and observation the previous research from database journal. Based on reviewing 26 articles, this study conclude that the trends of decision making in IoT are implemented on Manufacturing and Industry, Healthcare, Agriculture and Transportation. Besides that the decision model that can support by IoT used Fog Computing,  Fuzzy, Game Theoritic, Clustering Based on Multimodal Data Correlation, etc. Meanwhile the decision making factors that influenced by IoT like Latency, data-driven, security, data reliability and accurate.  The integrated of model and point of interest on decision making in IoT should be improved.  It will be the opportunities and challenge in IoT to support decision making in future.

scholarly journals A Systematic Review About Use of TensorFlow for Image Classification and Word Embedding in the Brazilian Context

2020 ◽  
Vol 1 (2) ◽  
pp. 24-27
Author(s):  
Thereza Patricia Pereira Padilha ◽  
Lucas Estanislau Alves de Lucena
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Decision Making ◽  
Image Classification ◽  
Search Engine ◽  
Word Embedding ◽  
The Internet ◽  
Domain Type ◽  
Academic Search ◽  
Support Decision Making

A great deal of data are available on the Internet, and it is possible to extract any type of implicit knowledge using Artificial Intelligence (AI) tools to support decision making. The open-source TensorFlow framework, developed by the Google Brain Team in 2015, is, presently, the most used tool for several AI applications, such as image classification, word embedding, and chatbot development. This paper presents results of a systematic review of the use of the TensorFlow framework for image classification and word embedding applications written in Portuguese language and in the Brazilian context. We used Google Scholar as Academic Search Engine and 90 were retrieved initially. However, just 12 were remained for reading and obtaining of the main information. Title, publication year, used domain, type of application and covered scope were collected from papers retrieved to accelerate studies in the AI area and to disseminate the potential of this framework for emerging challenges.

scholarly journals Experimental Environment to Model, Simulate and Analyze Contagious Diseases as a Diffusion Process in Social Networks

2021 ◽  
Author(s):  
Rafal Kasprzyk ◽  
Andrzej Najgebauer
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Diffusion Process ◽  
Network Theory ◽  
The Novel ◽  
Basic Principles ◽  
Contagious Diseases ◽  
Experimental Environment ◽  
Novel Model ◽  
Support Decision Making

Abstract In this paper the novel model of diffusion on networks and the experimental environment are presented. We consider the utilization of the graph and network theory in the field of modelling and simulating the dynamics of contagious diseases. We describe basic principles and methods and show how we can use them to fight against the spread of this phenomenon. We also present our software solution – CARE (Creative Application to Remedy Epidemics) that can be used to support decision-making activities.

Green Information Technology Audit and Digitalization in Small Medium Enterprise (SME)

2014 ◽  
Vol 6 (4) ◽  
pp. 14-20
Author(s):  
Ezendu Ariwa ◽  
Sarah Olaya ◽  
Isaac Wasswa Katono
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Traditional Method ◽  
Hospitality Industry ◽  
The Internet ◽  
Important Requirement ◽  
Medium Enterprise ◽  
Changing Trend ◽  
Green Information Technology ◽  
Sales Agents

According to Chung and law (2003); Jeong et al (2003); Jeong and Lambert (2001) and Kim et al. (2003), information satisfaction is the most important requirement of online customers' purchases decision making. This need remains largely unmet despite the growing importance of e-commerce within the hospitality industry. According to Kim et al. (2005), the changing trend in the business activities is largely attributable to the fast and improved developments in information and telecommunications. As a result, Chung and Law, (2003) noted that the Internet is also helping to drive down overhead costs for the hospitality industry and cost of information for the customers, as the traditional method of communication is slowly being phased out. Similarly Kim et al (2005) argue that the Internet gives the customers more advantages by allowing them to obtain valuable information such as prices and hotel facilities without the need of getting into contact with any sales agents. In addition, the Internet provides the customers with numerous supplies allowing customers to access a pool of products and services information from which they can make choices and compare prices.

Topic Modeling as a Tool to Gauge Political Sentiments from Twitter Feeds

2020 ◽  
Vol 9 (2) ◽  
pp. 14-35
Author(s):  
Debabrata Sarddar ◽  
Raktim Kumar Dey ◽  
Rajesh Bose ◽  
Sandip Roy
Keyword(s):  
Political Party ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Unsupervised Clustering ◽  
The Internet ◽  
Clustering Methods ◽  
Proposed Model ◽  
The World ◽  
Emotion Lexicon ◽  
Decision Making Processes

As ubiquitous as it is, the Internet has spawned a slew of products that have forever changed the way one thinks of society and politics. This article proposes a model to predict chances of a political party winning based on data collected from Twitter microblogging website, because it is the most popular microblogging platform in the world. Using unsupervised topic modeling and the NRC Emotion Lexicon, the authors demonstrate how it is possible to predict results by analyzing eight types of emotions expressed by users on Twitter. To prove the results based on empirical analysis, the authors examine the Twitter messages posted during 14th Gujarat Legislative Assembly election, 2017. Implementing two unsupervised clustering methods of K-means and Latent Dirichlet Allocation, this research shows how the proposed model is able to examine and summarize observations based on underlying semantic structures of messages posted on Twitter. These two well-known unsupervised clustering methods provide a firm base for the proposed model to enable streamlining of decision-making processes objectively.

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