Leveraging sentiment analysis of Arabic Tweets for the 2022 FIFA World Cup insights, incorporating the gulf region
<h3>Purpose</h3><p dir="ltr">The study analyzes Arabic Tweets, with a focus on those originating from the Gulf Cooperation Council (GCC) region, to examine public perceptions of the 2022 FIFA World Cup.</p><h3>Methodology</h3><p dir="ltr">...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513542703546368 |
|---|---|
| author | Wadih Ishac (18061304) |
| author2 | Vajiheh Javani (21841631) Daoud Youssef (21841634) |
| author2_role | author author |
| author_facet | Wadih Ishac (18061304) Vajiheh Javani (21841631) Daoud Youssef (21841634) |
| author_role | author |
| dc.creator.none.fl_str_mv | Wadih Ishac (18061304) Vajiheh Javani (21841631) Daoud Youssef (21841634) |
| dc.date.none.fl_str_mv | 2024-04-30T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1080/23750472.2024.2342258 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Leveraging_sentiment_analysis_of_Arabic_Tweets_for_the_2022_FIFA_World_Cup_insights_incorporating_the_gulf_region/29715155 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Data management and data science Human-centred computing 2022 FIFA World Cup sentiment analysis public sentiment strategic planning Arabic Tweets |
| dc.title.none.fl_str_mv | Leveraging sentiment analysis of Arabic Tweets for the 2022 FIFA World Cup insights, incorporating the gulf region |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Purpose</h3><p dir="ltr">The study analyzes Arabic Tweets, with a focus on those originating from the Gulf Cooperation Council (GCC) region, to examine public perceptions of the 2022 FIFA World Cup.</p><h3>Methodology</h3><p dir="ltr">Twitter’s search API was utilized to gather a substantial dataset of 157,756 tweets collected from 1 October 2022, to 1 January 2022. After data cleaning, a refined dataset of 43,658 tweets, was categorized into positive, neutral, and negative sentiments based on sentiment scores.</p><h3>Findings</h3><p dir="ltr">Arabic tweets, initially held a positive sentiment towards the World Cup, which increased during the tournament, accompanied by a decrease in negative sentiment.</p><h3>Research contribution</h3><p dir="ltr">This study offers valuable insights into public sentiment regarding the 2022 FIFA World Cup among Arabic-speaking Twitter users, with a particular emphasis on those from the GCC region. Additionally, it lends support to FIFA's decision to host the event in the Arab World by highlighting the favorable public reception.</p><h3>Originality</h3><p dir="ltr">This research's originality lies in its examination of the transformation in public sentiment within the Arabic-speaking community throughout the 2022 FIFA World Cup. These insights hold the potential to inform future decisions related to the hosting of major sporting events, providing a unique perspective on the evolving dynamics of sentiment within this demographic.</p><h2>Other Information</h2><p dir="ltr">Published in: Managing Sport and Leisure<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1080/23750472.2024.2342258" target="_blank">https://dx.doi.org/10.1080/23750472.2024.2342258</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_ea3d3a7f574518b8a7c7badefcdca486 |
| identifier_str_mv | 10.1080/23750472.2024.2342258 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29715155 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Leveraging sentiment analysis of Arabic Tweets for the 2022 FIFA World Cup insights, incorporating the gulf regionWadih Ishac (18061304)Vajiheh Javani (21841631)Daoud Youssef (21841634)Information and computing sciencesData management and data scienceHuman-centred computing2022 FIFA World Cupsentiment analysispublic sentimentstrategic planningArabic Tweets<h3>Purpose</h3><p dir="ltr">The study analyzes Arabic Tweets, with a focus on those originating from the Gulf Cooperation Council (GCC) region, to examine public perceptions of the 2022 FIFA World Cup.</p><h3>Methodology</h3><p dir="ltr">Twitter’s search API was utilized to gather a substantial dataset of 157,756 tweets collected from 1 October 2022, to 1 January 2022. After data cleaning, a refined dataset of 43,658 tweets, was categorized into positive, neutral, and negative sentiments based on sentiment scores.</p><h3>Findings</h3><p dir="ltr">Arabic tweets, initially held a positive sentiment towards the World Cup, which increased during the tournament, accompanied by a decrease in negative sentiment.</p><h3>Research contribution</h3><p dir="ltr">This study offers valuable insights into public sentiment regarding the 2022 FIFA World Cup among Arabic-speaking Twitter users, with a particular emphasis on those from the GCC region. Additionally, it lends support to FIFA's decision to host the event in the Arab World by highlighting the favorable public reception.</p><h3>Originality</h3><p dir="ltr">This research's originality lies in its examination of the transformation in public sentiment within the Arabic-speaking community throughout the 2022 FIFA World Cup. These insights hold the potential to inform future decisions related to the hosting of major sporting events, providing a unique perspective on the evolving dynamics of sentiment within this demographic.</p><h2>Other Information</h2><p dir="ltr">Published in: Managing Sport and Leisure<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1080/23750472.2024.2342258" target="_blank">https://dx.doi.org/10.1080/23750472.2024.2342258</a></p>2024-04-30T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1080/23750472.2024.2342258https://figshare.com/articles/journal_contribution/Leveraging_sentiment_analysis_of_Arabic_Tweets_for_the_2022_FIFA_World_Cup_insights_incorporating_the_gulf_region/29715155CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/297151552024-04-30T09:00:00Z |
| spellingShingle | Leveraging sentiment analysis of Arabic Tweets for the 2022 FIFA World Cup insights, incorporating the gulf region Wadih Ishac (18061304) Information and computing sciences Data management and data science Human-centred computing 2022 FIFA World Cup sentiment analysis public sentiment strategic planning Arabic Tweets |
| status_str | publishedVersion |
| title | Leveraging sentiment analysis of Arabic Tweets for the 2022 FIFA World Cup insights, incorporating the gulf region |
| title_full | Leveraging sentiment analysis of Arabic Tweets for the 2022 FIFA World Cup insights, incorporating the gulf region |
| title_fullStr | Leveraging sentiment analysis of Arabic Tweets for the 2022 FIFA World Cup insights, incorporating the gulf region |
| title_full_unstemmed | Leveraging sentiment analysis of Arabic Tweets for the 2022 FIFA World Cup insights, incorporating the gulf region |
| title_short | Leveraging sentiment analysis of Arabic Tweets for the 2022 FIFA World Cup insights, incorporating the gulf region |
| title_sort | Leveraging sentiment analysis of Arabic Tweets for the 2022 FIFA World Cup insights, incorporating the gulf region |
| topic | Information and computing sciences Data management and data science Human-centred computing 2022 FIFA World Cup sentiment analysis public sentiment strategic planning Arabic Tweets |