Sentiment Analysis of TIMNAS Indonesia's Participation in the Asian Cup U23 2024 on X Using Naive Bayes and SVM
This study aims to analyze the sentiment of the Indonesian public regarding the participation of the Indonesian National Team in the 2024 U-23 Asian Cup through the social media platform X. Sentiment analysis is crucial for understanding public perception and its impact on support for the national t...
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| Format: | Article |
| Language: | English |
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State Islamic University Sunan Kalijaga
2024-08-01
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| Series: | IJID (International Journal on Informatics for Development) |
| Subjects: | |
| Online Access: | https://ejournal.uin-suka.ac.id/saintek/ijid/article/view/4504 |
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| author | Sewin Fathurrohman Irfan Ricky Afandi Firman Noor Hasan |
| author_facet | Sewin Fathurrohman Irfan Ricky Afandi Firman Noor Hasan |
| author_sort | Sewin Fathurrohman |
| collection | DOAJ |
| description | This study aims to analyze the sentiment of the Indonesian public regarding the participation of the Indonesian National Team in the 2024 U-23 Asian Cup through the social media platform X. Sentiment analysis is crucial for understanding public perception and its impact on support for the national team. The research methodology involves collecting user comments on X related to the team's performance during the tournament, followed by data cleaning. The dataset is manually labeled, with 80% used as training data for algorithmic model training and the remaining 20% as test data, classified using Naive Bayes and Support Vector Machine algorithms. The analysis results indicate that the SVM algorithm achieves a higher % accuracy rate of 95% compared to Naive Bayes, which achieves 87%. The majority of the 3367 opinions analyzed express positive or satisfactory sentiments towards the national team's participation. However, there are fewer negative sentiments, highlighting areas requiring team management's attention. This study provides valuable insights into public perception of the Indonesian National Team. Furthermore, these findings can inform policymakers and team managers' decision-making to enhance the team's quality and performance in the future. |
| format | Article |
| id | doaj-art-0468c9ebebd4438f8e97058213bdcbe3 |
| institution | OA Journals |
| issn | 2252-7834 2549-7448 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | State Islamic University Sunan Kalijaga |
| record_format | Article |
| series | IJID (International Journal on Informatics for Development) |
| spelling | doaj-art-0468c9ebebd4438f8e97058213bdcbe32025-08-20T02:17:40ZengState Islamic University Sunan KalijagaIJID (International Journal on Informatics for Development)2252-78342549-74482024-08-0113143444710.14421/ijid.2024.45044128Sentiment Analysis of TIMNAS Indonesia's Participation in the Asian Cup U23 2024 on X Using Naive Bayes and SVMSewin Fathurrohman0Irfan Ricky Afandi1Firman Noor Hasan2Universitas GunadarmaUniversitas Muhammadiyah Prof. Dr. HamkaUniversitas Muhammadiyah Prof. Dr. HamkaThis study aims to analyze the sentiment of the Indonesian public regarding the participation of the Indonesian National Team in the 2024 U-23 Asian Cup through the social media platform X. Sentiment analysis is crucial for understanding public perception and its impact on support for the national team. The research methodology involves collecting user comments on X related to the team's performance during the tournament, followed by data cleaning. The dataset is manually labeled, with 80% used as training data for algorithmic model training and the remaining 20% as test data, classified using Naive Bayes and Support Vector Machine algorithms. The analysis results indicate that the SVM algorithm achieves a higher % accuracy rate of 95% compared to Naive Bayes, which achieves 87%. The majority of the 3367 opinions analyzed express positive or satisfactory sentiments towards the national team's participation. However, there are fewer negative sentiments, highlighting areas requiring team management's attention. This study provides valuable insights into public perception of the Indonesian National Team. Furthermore, these findings can inform policymakers and team managers' decision-making to enhance the team's quality and performance in the future.https://ejournal.uin-suka.ac.id/saintek/ijid/article/view/4504indonesian national teamnaive bayessentiment analysissupport vector machinex |
| spellingShingle | Sewin Fathurrohman Irfan Ricky Afandi Firman Noor Hasan Sentiment Analysis of TIMNAS Indonesia's Participation in the Asian Cup U23 2024 on X Using Naive Bayes and SVM IJID (International Journal on Informatics for Development) indonesian national team naive bayes sentiment analysis support vector machine x |
| title | Sentiment Analysis of TIMNAS Indonesia's Participation in the Asian Cup U23 2024 on X Using Naive Bayes and SVM |
| title_full | Sentiment Analysis of TIMNAS Indonesia's Participation in the Asian Cup U23 2024 on X Using Naive Bayes and SVM |
| title_fullStr | Sentiment Analysis of TIMNAS Indonesia's Participation in the Asian Cup U23 2024 on X Using Naive Bayes and SVM |
| title_full_unstemmed | Sentiment Analysis of TIMNAS Indonesia's Participation in the Asian Cup U23 2024 on X Using Naive Bayes and SVM |
| title_short | Sentiment Analysis of TIMNAS Indonesia's Participation in the Asian Cup U23 2024 on X Using Naive Bayes and SVM |
| title_sort | sentiment analysis of timnas indonesia s participation in the asian cup u23 2024 on x using naive bayes and svm |
| topic | indonesian national team naive bayes sentiment analysis support vector machine x |
| url | https://ejournal.uin-suka.ac.id/saintek/ijid/article/view/4504 |
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