Acta Informatica Pragensia最新文献_第9页

Sentiment Analysis for Thai Language in Hotel Domain Using Machine Learning Algorithms 基于机器学习算法的酒店领域泰语情感分析

Acta Informatica Pragensia Pub Date : 2021-09-10 DOI: 10.18267/j.aip.155

Nattawat Khamphakdee, Pusadee Seresangtakul

{"title":"Sentiment Analysis for Thai Language in Hotel Domain Using Machine Learning Algorithms","authors":"Nattawat Khamphakdee, Pusadee Seresangtakul","doi":"10.18267/j.aip.155","DOIUrl":"https://doi.org/10.18267/j.aip.155","url":null,"abstract":"Sentiment analysis is one of the most frequently used aspects of Natural Language Processing (NLP), which utilizes the polarity classification of reviews expressed at the aspect, sentence or document level. Several businesses and organizations utilize this technique to improve production, as well as employee and service efficiency. However, the users’ reviews in our study were expressed in an unstructured data form, which contained spelling errors, leading to complex classifications for both the users and the machine. To solve the problem, a supervised technique of Machine Learning (ML) algorithms can be applied to the data extraction, where classification polarity can be categorized into a positive, negative or neutral class. In this research, we compared nine ML algorithms to determine the most suitable ML algorithm for creating sentiment polarity classification of customer reviews in Thai, which is a low-resource language. The dataset was collected manually from two online agencies (Agoda.com and Booking.com) utilizing a special Thai language. We employed 11 preprocessing steps to clean and handle the large amount of noise data. Next, the Delta TF-IDF, TF-IDF, N-Gram, and Word2Vec techniques were applied to convert the text reviews into vectors, processed with different ML algorithms, to determine sentiment polarity classification and to make accurate comparisons. All ML algorithms were evaluated for sentiment polarity classification with ten-fold cross-validation, with which to compare the values of recall, precision, F1-score and accuracy. The experiment results show that the Support Vector Machine (SVM) using the Delta TF-IDF technique was the best ML algorithm for polarity classification of hotel reviews in the Thai language with the highest accuracy of 89.96%. The results of this research can be applied as the tool for small and medium-sized enterprises within the field of sentiment analysis of the Thai language in the hotel domain.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45669421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

E-Commerce Readiness Assessment in Sarawak 砂拉越的电子商务准备情况评估

Acta Informatica Pragensia Pub Date : 2021-09-10 DOI: 10.18267/j.aip.153

Ahmad Termidzi Bin Serojai, Hamimah Binti Ujir, Irwandi Hipni Bin Mohamad Hipiny

{"title":"E-Commerce Readiness Assessment in Sarawak","authors":"Ahmad Termidzi Bin Serojai, Hamimah Binti Ujir, Irwandi Hipni Bin Mohamad Hipiny","doi":"10.18267/j.aip.153","DOIUrl":"https://doi.org/10.18267/j.aip.153","url":null,"abstract":"This study explores the factors of e-commerce adoption among Sarawakians. One of the factors is the level of cybersecurity awareness. We aim to assess the readiness for e-commerce among Sarawakians due to the lack of study conducted on the subject. A research model based on the perceived risk (PR), perceived usefulness (PU) and perceived quality of products (PQ), and the intention (I) of adoption of e-commerce services in Sarawak is proposed. The validity of the proposed model is then tested using various validity tests such as item reliability, construct validity, convergent validity and discriminant validity via the SmartPLS software. Once the validity of the model has been determined, a structural equation model is used to study the strength of the model before the test of the hypothesis can be done. The effect size, f2, is calculated by using SmartPLS. The index value of each variable is also plotted in the importance-performance matrix analysis (IPMA). Based on the survey data from 128 end users in Sarawak, the study finds that PU is the most crucial factor in adopting e-commerce services, followed by PQ. Surprisingly, PR does not play any role in the intention of Sarawakians to adopt e-commerce services. The results suggest several important key points as follows: (i) the Sarawak Government and its e-commerce partners should focus on educating the people of Sarawak on the importance of cybersecurity to prevent cyber-related crimes from occurring and causing massive damage in Sarawak’s attempt to digitise its economy; (ii)Sarawakians prefer functional e-commerce services; (iii) the quality of e-commerce products should also be maintained; and (iv) the developers should focus on the usefulness of their products to ensure that their service can be adopted by the people of Sarawak.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48038738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Proposing Two Hybrid Data Mining Models for Discovering Students' Mental Health Problems 提出两种发现学生心理健康问题的混合数据挖掘模型

Acta Informatica Pragensia Pub Date : 2021-06-30 DOI: 10.18267/j.aip.148

Shabnam Shadroo, Mohsen Yoosefi Nejad, Samira Tavanaiee Yosefian, M. Naserbakht, M. Hosseinzadeh

{"title":"Proposing Two Hybrid Data Mining Models for Discovering Students' Mental Health Problems","authors":"Shabnam Shadroo, Mohsen Yoosefi Nejad, Samira Tavanaiee Yosefian, M. Naserbakht, M. Hosseinzadeh","doi":"10.18267/j.aip.148","DOIUrl":"https://doi.org/10.18267/j.aip.148","url":null,"abstract":"Mental health is an important issue for university students. The objective of this article was to apply and compare the different classification methods for students’ mental health problems. Furthermore, it presents an ensemble classification method to improve the accuracy of classifiers and assist psychologists in the decision making process. For this, 10 different classifiers were applied for classifying students into two groups. In addition, two methods of combining the classifiers are presented. In the first proposed method, the classifiers were selected based on their accuracy, and then voting was carried out based on maximum probability. In the second proposed method, the methods were combined based on the fields of the confusion table, and the voting was carried out based on majority voting scheme. These two methods were evaluated in two ways. Focusing on the accuracy and the maximum probability voting, the accuracy of the first method was 92.24%, whereas in the second method, it was 95.97%. Further, using confusion table and majority voting applied to the entire dataset, the accuracy reached 96.66%. The results are promising to assist the process of mental health assessment of students.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42890229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Social Informatics: 30 Years of Development of Russian Scientific School 社会信息学:俄罗斯科学学派发展的30年

Acta Informatica Pragensia Pub Date : 2021-05-22 DOI: 10.18267/j.aip.150

Konstantin Konstantinovich Kolin

{"title":"Social Informatics: 30 Years of Development of Russian Scientific School","authors":"Konstantin Konstantinovich Kolin","doi":"10.18267/j.aip.150","DOIUrl":"https://doi.org/10.18267/j.aip.150","url":null,"abstract":"The article deals with the history of the formation, current state and prospects for the development of social informatics as a current direction in science and education in Russia. The article offers mainly a personal view of the author, who has been involved in shaping social informatics in Russia for the last three decades. The article presents the distinctive features of the Russian scientific school of social informatics and its priorities in the formation of this field. The main directions of research in the field of social informatics in Russia in the context of the formation of the global information society are determined. Particular emphasis is placed on the interdisciplinary nature of many issues related to social informatics and their systematic study. Finally, the article summarizes the current necessity for the deep study of issues related to social informatics, e.g., information inequality, information crime, cyberbullies, manipulation of consciousness, virtualization of society, information wars, information poverty, information culture, and using computers to analyse social phenomena such as communication via social media. It is important not only in the area of scientific research but also in the system of secondary and higher education and training of scholars.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46209908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Effective Designing of Order Picking Systems Using Dynamic Simulation 基于动态仿真的拣货系统有效设计

Acta Informatica Pragensia Pub Date : 2021-05-14 DOI: 10.18267/j.aip.149

P. Kašparová, J. Dyntar

{"title":"Effective Designing of Order Picking Systems Using Dynamic Simulation","authors":"P. Kašparová, J. Dyntar","doi":"10.18267/j.aip.149","DOIUrl":"https://doi.org/10.18267/j.aip.149","url":null,"abstract":"In this article, we describe the use of dynamic simulation when designing an effective system for order picking within a distribution warehouse. The simulation model was created in the Witness software environment for discrete dynamic simulation and is a modification of a general simulation model of material flows in supplier systems. Using the example of a batch system for picking orders in a drugstore goods warehouse, we discuss the possibilities of using a general simulation model of material flows as an effective framework for the development of system support for warehouse processes using warehouse management system (WMS). The simulation model is based on the possibility of distributing any material flow in the supply system into a finite number of movements with the possibility of using one of the sources and fulfilment of certain conditions. In order to achieve the required optimisation of the order picking system, which depends, in particular, on the unknown duration of goods collection at the picking location, and on the duration of goods sorting in consolidation, the “what-if” analysis has been used as a tool to measure the impact of uncertainty of one or more variables entering the model on the uncertainty of output variables. The study showed that minimisation of the number of physical elements in the model leads to a significantly higher speed of its operation. By means of dynamic simulation, it is possible to test a large number of variants of the picking system layout in a relatively short time and minimise the risk of erroneous decisions associated with the implementation of a suitable WMS.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44227103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Route and Travel Time Optimization for Delivery and Utility Services: An Industrial Viewpoint 运输和公用事业服务的路线和旅行时间优化:一个工业观点

Acta Informatica Pragensia Pub Date : 2020-12-31 DOI: 10.18267/J.AIP.133

Robin Jonák, Zdenek Smutný, M. Simunek, Michal Dolezel

引用次数: 1

Perception of Information Sensitivity for Internet Users in Saudi Arabia 沙特阿拉伯互联网用户的信息敏感性认知

Acta Informatica Pragensia Pub Date : 2020-12-31 DOI: 10.18267/J.AIP.141

K. Almotairi, Bilal Bataineh

引用次数: 4

The Process of Unit Price Extraction from Public Sector Contracts 从公共部门合同中提取单价的过程

Acta Informatica Pragensia Pub Date : 2020-12-31 DOI: 10.18267/J.AIP.139

T. Bruckner, Filip Vencovský

引用次数: 0

The Use and Teaching of Agile Software Development in the Czech Republic 捷克共和国敏捷软件开发的使用与教学

Acta Informatica Pragensia Pub Date : 2020-12-31 DOI: 10.18267/J.AIP.142

Alena Buchalcevová

引用次数: 0

The Role of Twitter During the COVID-19 Crisis: A Systematic Literature Review 推特在COVID-19危机中的作用:系统文献综述

Acta Informatica Pragensia Pub Date : 2020-09-29 DOI: 10.18267/j.aip.138

Mahsa Dalili Shoaei, M. Dastani

{"title":"The Role of Twitter During the COVID-19 Crisis: A Systematic Literature Review","authors":"Mahsa Dalili Shoaei, M. Dastani","doi":"10.18267/j.aip.138","DOIUrl":"https://doi.org/10.18267/j.aip.138","url":null,"abstract":"At the end of 2019, COVID-19 (Coronavirus 2019) emerged in Wuhan, China, and spread rapidly worldwide The use of virtual social networks, especially Twitter, has increased due to the present condition The purpose of the present systematic literature review is to review the investigations on Twitter's role in the COVID-19 crisis For this purpose, an appropriate search strategy was used to extract the studies conducted in the Web of Science and PubMed databases In the end, 24 articles were reviewed The results indicate that in the period of the COVID-19 pandemic, the content and tweets posted on Twitter were affected by this crisis, and various people such as the general public, health professionals, and politicians were sharing opinions, emotions, personal experience, and educational content about exposure to COVID-19 on this social media Therefore, the speed of providing information to people has been one of the main advantages of Twitter during the crisis of COVID-19;however, the risk of using invalid information without scientific citation is also one of the most important concerns of using Twitter among people as well as health and governmental organizations Thus, users should evaluate information accuracy more carefully and pay attention to the quality and validity of information before employing or sharing it Governments and professionals can also prevent this disease's contagion even in similar future crises by employing Twitter correctly in the period of crisis and using the useful experience gained from applying social networks in the outbreak of COVID-19 Copyright © 2020 by the author(s) Licensee Prague University of Economics and Business, Czech Republic This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (CC BY), which permits use, distribution and reproduction in any medium, provided the original publication is properly cited, see http://creativecommons org/licenses/by/4 0/ No use, distribution or reproduction is permitted which does not comply with these terms","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48963128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10