48 10 1981 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Yuensuk , Thanet Limpinan , Potsirin Nuankaew , Wongpanya Nuankaew, Pratya Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-10 Description An account of the resource Using technology to deliver specific human interests is gaining attention. It results in humans being presented differently with what each individual wants. Therefore, this research aims to develop a culturally tourism recommended application using machine learning technology. It has three objectives: to develop a predictive model for cultural tourism management using text mining techniques, to evaluate the effectiveness of the cultural tourist attraction management model, and to assess the satisfaction of using the application for cultural tourism management. The research data was collected on Facebook conversations from 385 tourists (3,257 transactions) who had traveled to a famous tourist destination in Maha Sarakham Province. The prediction model development tools are three classification techniques including Naïve Bayes, Neural Network, and K-Nearest Neighbor. The model performance evaluation tool consists of a confusion matrix and cross-validation methods. In addition, a questionnaire was used to assess the satisfaction of the application. The results showed that the model with the highest accuracy was modeled by the Naïve Bayes technique with an accuracy of 91.65%. Simultaneously, the level of satisfaction with the application was high, with an average of satisfaction equal to 3.98 (S.D. equal to 0.69). It was therefore concluded that the application was accepted by it to be further expanded to offer more widespread research. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30439 10.3991/ijim.v16i09.30439 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30439/11267 Rights Information about rights held in and over the resource Copyright (c) 2022 Thanet Yuensuk , Potsirin Limpinan , Wongpanya Sararat Nuankaew , Pratya Nuankaew https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 146-163 1865-7923 Subject The topic of the resource Cultural Tourism Management Opinion Data Mining Text Mining Tourist Attraction Tourist Experience Title A name given to the resource Information Systems for Cultural Tourism Management Using Text Analytics and Data Mining Techniques Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mohd Suki , Norbayah Mohd Suki, Norazah Ishak , Mohamed Mustafa Ahmad, Rosliza Sudin, Kamal Bahrin Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-10 Description An account of the resource The purpose of this study is to conduct a bibliometric analysis of publications on 3D animation in the Scopus database. Microsoft Excel, VOSviewer for data visualisation, and Harzing's Publish or Perish for citation metrics and analysis were employed to conduct the bibliometric analysis. Data were analysed among a sample of 305 publications on 3D animation published between 1984 and 2021 available in the Scopus database. The bibliometric analysis reveals that the number of publications on 3D animation research has been constantly increasing since 2002. In 2020, the total number of documents published in 3D animation reached 29 articles. China was named the most active country in the field of 3D animation. A total of 888 researchers from 43 different countries and 31 different institutions published 3D animations in multiple languages, including multi-author collaboration. Computer Science and Engineering are the two disciplines that are most prominently represented in the study of 3D animation. The most active institutions that published key publications linked to 3D animation research were Universitas Diponegoro and the University of Sharjah. This research is unique and significant to contribute to advancing the body of knowledge on 3D animation to add value to the complexities of scientific narratives. Future research direction is also furnished. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30371 10.3991/ijim.v16i09.30371 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30371/11255 Rights Information about rights held in and over the resource Copyright (c) 2022 Norbayah Mohd Suki , Norazah Mohd Suki, Mohamed Mustafa Ishak , Rosliza Ahmad, Kamal Bahrin Sudin https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 41-54 1865-7923 Subject The topic of the resource 3D animation Bibliometric analysis VOSviewer Harzing’s Publish or Perish Scopus database Title A name given to the resource Discovering the Global Landscape of 3D Animation: A Bibliometric Analysis Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Feng, Juan Chen, Yong Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-10 Description An account of the resource This article reviews mobile assisted second language learning (MASLL) with a bibliometric method. The authors collected data of papers related to MASLL from Web of Science and then analyzed the sources, authors, papers, and conceptual structure. The result suggests that: the effects of technology on learning, vocabulary, personalized learning, learning environment, learner attitudes were popular topics in this field; the attention on themes related to “technology” is fading away and the focus of MASLL research is shifting to themes related to “students”. Most-cited journals, authors, and papers are also presented in this article. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30351 10.3991/ijim.v16i09.30351 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30351/11271 Rights Information about rights held in and over the resource Copyright (c) 2022 Yong Chen, Juan Feng https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 175-190 1865-7923 Subject The topic of the resource literature review mobile learning second language learning bibliometric analysis MASLL Title A name given to the resource A Bibliometric Analysis of Mobile Assisted Second Language Learning Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Islam, Gazi Zahirul Hossain, Md. Mobarak Faruk, Md. Nur, Fernaz Narin Hasan, Nayeem Khan, Md. Khalid Mahbub Tumpa, Zerin Nasrin Date A point or period of time associated with an event in the lifecycle of the resource 2022-11-15 Description An account of the resource Gas Leakage and its fatal effects are a great concern throughout the world, especially in developing countries like Bangladesh. Every year lots of people died and countless damages to assets occur due to the fire caused by the gas leakage. Not only that but gas leakage and explosion are also very harmful to the climate. Thus, a system to detect gas leakage and preventive measures is of utmost importance. In this project, we design and implement an intelligent IoT prototype to detect gas leakage, and the fire caught by gas leakage. Our goal is to minimize the effect of gas leakage by taking some protective measures. When the gas sensor, detects the gas leakage, the solenoid valve shuts off the gas line, and the exhaust fan starts to run. Again, when the flame sensor detects a fire, the sucker throws the fire extinguisher balls to the fire. The GSM SIM module notifies the user by sending a message to his smartphone. The buzzer sounds when a mishap occurs and the LCD monitor always shows the status of the system. In this way, we have efficiently designed and implemented a low-cost and intelligent gas leak detection and fire suppression system. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30311 10.3991/ijim.v16i21.30311 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30311/12235 Rights Information about rights held in and over the resource Copyright (c) 2022 Gazi Zahirul Islam, Md. Mobarak Hossain, Md. Faruk, Fernaz Narin Nur, Nayeem Hasan, Zerin Nasrin Tumpa, Md. Khalid Mahbub Khan https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 49-70 1865-7923 Subject The topic of the resource Internet of Things Intelligent System Smart IoT prototype Gas and Fire Detection Sensors and Actuators Title A name given to the resource IoT-Based Intelligent Gas Leakage Detection and Fire Protection System Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ganasan, Jayasankari Hashim, Ahmad Sobri Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-10 Description An account of the resource Mobile phones that accept input by a user’s finger motion are becoming increasingly common. However, they still have challenging problems to research, such as the ergonomic and safety aspects. As an outcome, more research required its capabilities and a critical examination of the existing gestural interfaces and how they assist drivers' activities while driving. This research paper attempts to present a comprehensive understanding of possible gestures on the smartphones by conducting user testing with a sample data of 30 drivers from three different age groups. The user testing was performed in an actual driving environment. Observation and interviews were carried out to study drivers’ behavior while driving. The data gathered were then interpreted into action and motivation levels. The action level was defined by how drivers interact with smartphones while driving, and in motivation level, a study on why drivers interact in that manner was conducted. The results were then drawn to a table with the task carried out during user testing. In conclusion, this research aims to consider all these issues that drivers confront while driving. This is to determine how a more advanced gestural interaction of smartphone interfaces may be created to meet drivers' safety and ergonomic concerns. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30261 10.3991/ijim.v16i09.30261 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30261/11259 Rights Information about rights held in and over the resource Copyright (c) 2022 Jayasankari Ganasan, Ts. Dr. Ahmad Sobri Hashim https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 76-92 1865-7923 Subject The topic of the resource action level car driver finger gesture gestural interactions motivation level smartphone user interface Title A name given to the resource Task Based Test Case Generation on Available Gestural Interaction of Smartphone for Improved Safety and Ergonomics in Real Driving Scenario Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Perumal , Sundresan Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-10 Description An account of the resource In both wireless and mobile ad hoc networks, assaults can come from a variety of different sources. The terms "active attack" and "passive attack" describe these two types of attacks. In the network community, the Sybil attack is one of the most often used and deployed techniques for sniffing identities and repurposing them. Multiple identities or Sybil attacks have recently sparked a lot of interest in the research community. The algorithms and networks on which they are tested are vastly different among the many methods that have been offered. Since researchers can't evaluate these systems side by side or test their efficacy on real-world social networks with a variety of structural features, it's difficult to say whether there are any other (perhaps more efficient) methods of Sybil protection. In the event of a Sybil attack, the gatecrasher subverts the system framework's notoriety arrangement by creating a large number of pseudonymous individuals and then using them to add an enormously imbalanced influence. Three factors determine a notoriety framework's susceptibility to a Sybil attack: how quickly personalities can be generated, how much the notoriety framework accepts inputs from substances that lack a chain of trust, and if the notoriety framework handles all components equally. A large-scale Sybil ambush in Bittorrent Mainline may be accomplished in a cheap and effective manner, according to confirmation. A substance on a distributed system is a piece of software that has access to the resources of the local community. By displaying a character, a distributed system element reveals itself to the world. A single chemical can have an impact on more than one character. Numerous characters can be assigned to a single element. The personalities of substances in shared systems are used for the objectives of repetition, asset transfer, reliability, and trustworthiness, among other reasons. For remote elements to be aware of characters without necessarily being aware of the personality-to-neighborhood correlation, distributed systems make use of the character as a decision. Each different identification is normally considered to be associated with a separate local entity by convention. A single local entity may have several identities in actuality. In order to avoid and identify Sybil assaults, an empirical technique is used in this study. According to the base paper, any nodes with RSS greater than the provided threshold are regarded to be attackers under the present approach. A centralized way to monitor the mobile nodes is required to prevent this assault. As the server agent assumes full control of the ad-hoc network, malevolent nodes or selfish nodes are fully eliminated from the system. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30213 10.3991/ijim.v16i09.30213 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30213/11277 Rights Information about rights held in and over the resource Copyright (c) 2022 Haider Th.Salim Alrikabi; Sundresan Perumal https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 217-230 1865-7923 Subject The topic of the resource Network Security, Wireless Network Security, Security in Wireless Environment Title A name given to the resource An Effectual Secured Approach Against Sybil Attacks in Wireless Networks Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Alaidi , Abdul Hadi M. Al_airaji, Roa'a M. Alrikabi, Haider Th.Salim Aljazaery, Ibtisam A. Abbood, Saif Hameed Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-24 Description An account of the resource Dark web is a canopy concept that denotes any kind of illicit activities carried out by anonymous persons or organizations, thereby making it difficult to trace. The illicit content on the dark web is constantly updated and changed. The collection and classification of such illegal activities are challenging tasks, as they are difficult and time-consuming. This problem has in recent times emerged as an issue that requires quick attention from both the industry and academia. To this end, efforts have been made in this article a crawler that is capable of collecting dark web pages, cleaning them, and saving them in a document database, is proposed. The crawler carries out an automatic classification of the gathered web pages into five classes. The classifiers used in classifying the pages include Linear Support Vector Classifier (SVC), Naïve Bayes (NB), and Document Frequency (TF-IDF). The experimental results revealed that an accuracy rate of 92% and 81% were achieved by SVC and NB, respectively. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30209 10.3991/ijim.v16i10.30209 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30209/11355 Rights Information about rights held in and over the resource Copyright (c) 2022 Haider Th.Salim Alrikabi, Abdul Hadi M. Alaidi , Roa'a M. Al_airaji, Ibtisam A. Aljazaery, Saif Hameed Abbood https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 10 (2022); pp. 122-139 1865-7923 Subject The topic of the resource Linear Support Vector Classifier, dark Web, Naïve Bayes Title A name given to the resource Dark Web Illegal Activities Crawling and Classifying Using Data Mining Techniques Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Maabreh, Majdi Obeidat, Ibrahim Abu Elsoud , Esraa Alnajjar, Asma Alzyoud, Rahaf Darwish, Omar Date A point or period of time associated with an event in the lifecycle of the resource 2022-07-26 Description An account of the resource Cyberattacks have increased in tandem with the exponential expansion of computer networks and network applications throughout the world. In this study, we evaluate and compare four features selection methods, seven classical machine learning algorithms, and the deep learning algorithm on one million random instances of CSE-CIC-IDS2018 big data set for network intrusions. The dataset was preprocessed and cleaned and all learning algorithms were trained on the original values of features. The feature selection methods highlighted the importance of features related to forwarding direction (FWD) and two flow measures (FLOW) in predicting the binary traffic type; benign or attack. Furthermore, the results revealed that whether models are trained on all features or the top 30 features selected by any of the four features selection techniques used in this experiment, there is no significant difference in model performance. Moreover, we may be able to train ML models on only four features and have them perform similarly to models trained on all data,which may result in preferable models in terms of complexity, explainability, and scale for deployment. Furthermore, by choosing four unanimity features instead of all traffic features, training time may be reduced from 10% to 50% of the training time on all features. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30197 10.3991/ijim.v16i14.30197 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30197/11765 Rights Information about rights held in and over the resource Copyright (c) 2022 Ibrahim obeidat, Majdi Maabreh, esraa abu elsoud , asma alnajjar, rahaf alzyoud, omar darwish https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 14 (2022); pp. 123-135 1865-7923 Subject The topic of the resource Cyberattacks machine learning deep learning ML models Title A name given to the resource Towards Data-Driven Network Intrusion Detection Systems: Features Dimensionality Reduction and Machine Learning Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Pérez-Palomino, Ximena Rosas-Paredes, Karina Esquicha-Tejada, José Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-10 Description An account of the resource The current situation in the region of Arequipa (Peru) is an increase in crime and insecurity; companies that provide private surveillance services have increased the costs of equipment and services online. We propose is to implement a low-cost gas leakage and surveillance system for single-family houses, implemented with Raspberry Pi3, an Arduino board, SIM 900 module, sensors, actuators, and peripherals. The system alerts by sending a text message when an intruder enters the home or when there is a gas leak; it captures the webcam image that is sent to the homeowner's email. For voice command recognition, Wit.ai and Firebase are used for communication between the system and the mobile application. System functionality and usability tests were carried out, allowing us to know user satisfaction. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30177 10.3991/ijim.v16i09.30177 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30177/11275 Rights Information about rights held in and over the resource Copyright (c) 2022 Jose Esquicha-Tejada, Ximena Perez-Palomino, Karina Rosas-Paredes https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 206-216 1865-7923 Subject The topic of the resource IoT Surveillance Raspberry Pi SIM 900 module Title A name given to the resource Low-Cost Gas Leak Detection and Surveillance System for Single Family Homes Using Wit.ai, Raspberry Pi and Arduino Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Alnusyan, Ruba Almotairi , Ruba Almufadhi, Sarah A. Al-Shargabi, Amal F. Alshobaili, Jowharah Date A point or period of time associated with an event in the lifecycle of the resource 2022-04-26 Description An account of the resource Nowadays, many people prefer to purchase through online websites. Usually, those people start with reading user reviews and comments before making a purchase decision. The user reviews are considered powerful sources of information about products, in which users share opinions and previous experiences on using these products. However, these reviews are mostly textual and uncategorized. Thus, new customers need to read a massive amount of reviews, one by one, to make a decision. This study attempts to bridge this gap and proposes a hybrid approach of topic modeling that combines supervised and unsupervised learning. In particular, the study collected a massive amount of Amazon user reviews, analyzed the reviews' texts, and combined two approaches of topic modeling, which are unsupervised and supervised learning, i.e., semi-supervised learning. Besides, the study makes classification on reviews based on sentiment analysis. The resulting reviews' topics and their sentiment classifications are displayed on a visual dashboard. The proposed hybrid approach showed better performance in terms of text analysis and clearer representation of review topics. The outcome of this study helps customers make their decision on purchase products in a more effortless and clearer way. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30169 10.3991/ijim.v16i08.30169 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30169/11169 Rights Information about rights held in and over the resource Copyright (c) 2022 Ruba Alnusyan https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 08 (2022); pp. 79-93 1865-7923 Subject The topic of the resource user reviews sentiment analysis topic modeling visualisation Title A name given to the resource Hybrid Approach for User Reviews' Text Analysis and Visualization: A Case Study of Amazon User Reviews Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article