Classification of user Comments on Virtual Reality Technology by Topic Modeling
Abstract Today, with the increasing growth of the Internet and the rapid expansion of virtual space and its impressive features, including the increase in the speed of information exchange, easy and free access to information, the variety of topics, etc., people spend most of their time in cyberspac...
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2024-03-01
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| Series: | مطالعات مدیریت کسب و کار هوشمند |
| Subjects: | |
| Online Access: | https://ims.atu.ac.ir/article_16641_d41d8cd98f00b204e9800998ecf8427e.pdf |
| _version_ | 1797386080967720960 |
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| author | Fariba Karimi Ameneh khadivar Fatemeh Abbasi |
| author_facet | Fariba Karimi Ameneh khadivar Fatemeh Abbasi |
| author_sort | Fariba Karimi |
| collection | DOAJ |
| description | Abstract Today, with the increasing growth of the Internet and the rapid expansion of virtual space and its impressive features, including the increase in the speed of information exchange, easy and free access to information, the variety of topics, etc., people spend most of their time in cyberspace, especially in social networks are dedicated, in this regard, the opinions registered by users in virtual networks have grown day by day and become very important; Based on this, the aim of the current research is to analyze and review the opinions of Twitter users about virtual reality technology by using machine learning methods and a dictionary-based approach, which is advanced by collecting about 1 million tweets in the field of virtual reality technology by a web crawler. Data processing including the removal of stop words and links, de-wording was discussed, then Latent Dirichlet Allocation topic modeling was implemented on the data and the degree of semantic similarity between words and the distinction between topics was obtained by the coherence score and the number of topics that The one with the highest score was selected and the data were categorized into 9 topics. The Perplexity was used to evaluate the model, and its value was -9.44, which shows the effectiveness of the model. Then the situations related to virtual reality technology were named. |
| first_indexed | 2024-03-08T22:03:49Z |
| format | Article |
| id | doaj.art-fa3c743cf3a94be2991ea2a2d80adb82 |
| institution | Directory Open Access Journal |
| issn | 2821-0964 2821-0816 |
| language | fas |
| last_indexed | 2024-03-08T22:03:49Z |
| publishDate | 2024-03-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | مطالعات مدیریت کسب و کار هوشمند |
| spelling | doaj.art-fa3c743cf3a94be2991ea2a2d80adb822023-12-19T10:35:22ZfasAllameh Tabataba'i University Pressمطالعات مدیریت کسب و کار هوشمند2821-09642821-08162024-03-01124710.22054/ims.2023.74147.234216641Classification of user Comments on Virtual Reality Technology by Topic ModelingFariba Karimi0Ameneh khadivar1Fatemeh Abbasi2Master of Information Technology Management e-business, Faculty of Social Sciences and Economics, Alzahra University, Tehran, IranAssociate Professor, Department of Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran Corresponding Author: a.khadivar@alzahra.ac.irAssistant Professor, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, IranAbstract Today, with the increasing growth of the Internet and the rapid expansion of virtual space and its impressive features, including the increase in the speed of information exchange, easy and free access to information, the variety of topics, etc., people spend most of their time in cyberspace, especially in social networks are dedicated, in this regard, the opinions registered by users in virtual networks have grown day by day and become very important; Based on this, the aim of the current research is to analyze and review the opinions of Twitter users about virtual reality technology by using machine learning methods and a dictionary-based approach, which is advanced by collecting about 1 million tweets in the field of virtual reality technology by a web crawler. Data processing including the removal of stop words and links, de-wording was discussed, then Latent Dirichlet Allocation topic modeling was implemented on the data and the degree of semantic similarity between words and the distinction between topics was obtained by the coherence score and the number of topics that The one with the highest score was selected and the data were categorized into 9 topics. The Perplexity was used to evaluate the model, and its value was -9.44, which shows the effectiveness of the model. Then the situations related to virtual reality technology were named.https://ims.atu.ac.ir/article_16641_d41d8cd98f00b204e9800998ecf8427e.pdfdata miningtext miningvirtual reality technologytopic modelinglatent dirichlet allocation |
| spellingShingle | Fariba Karimi Ameneh khadivar Fatemeh Abbasi Classification of user Comments on Virtual Reality Technology by Topic Modeling مطالعات مدیریت کسب و کار هوشمند data mining text mining virtual reality technology topic modeling latent dirichlet allocation |
| title | Classification of user Comments on Virtual Reality Technology by Topic Modeling |
| title_full | Classification of user Comments on Virtual Reality Technology by Topic Modeling |
| title_fullStr | Classification of user Comments on Virtual Reality Technology by Topic Modeling |
| title_full_unstemmed | Classification of user Comments on Virtual Reality Technology by Topic Modeling |
| title_short | Classification of user Comments on Virtual Reality Technology by Topic Modeling |
| title_sort | classification of user comments on virtual reality technology by topic modeling |
| topic | data mining text mining virtual reality technology topic modeling latent dirichlet allocation |
| url | https://ims.atu.ac.ir/article_16641_d41d8cd98f00b204e9800998ecf8427e.pdf |
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