Comparative study of service-based sentiment analysis of social networking sites fanatical contents
The proliferation of mobile web services (MWS) for sentiment analysis makes it hard to identify the best MWS for sentiment analysis of social networking sites’ fanatical contents. This paper carries out a comparative study of service-based sentiment analysis of social networking sites’ fanatical con...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
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2022
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| _version_ | 1796866852729651200 |
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| author | Garba, Salisu Abdullahi, Marzuk Alkhammash, Reem Nasser, Maged |
| author_facet | Garba, Salisu Abdullahi, Marzuk Alkhammash, Reem Nasser, Maged |
| author_sort | Garba, Salisu |
| collection | ePrints |
| description | The proliferation of mobile web services (MWS) for sentiment analysis makes it hard to identify the best MWS for sentiment analysis of social networking sites’ fanatical contents. This paper carries out a comparative study of service-based sentiment analysis of social networking sites’ fanatical contents. This is achieved by cleaning, transformation, and reduction of fanatical contents from the publicly available social media dataset, and multiple MWS are selected for comparison using the application programming interface (API) key of the MWS. To evaluate the service-based sentiment analysis, standard measures such as accuracy, precision, recall, and f-measures of sentiment result for each MWS are used. The result shows that Dandelion SA performs better in terms of accuracy (72.5%) and recall (76.9%), while Wingify SA performs better in terms of precision (88.6%) and f-measure (75.5%), though AlchemyAPI offers the most crucial elements in analyzing sentiments such as emotion, relevance score, and sentiment type. The outcomes of this paper will benefit the sentiment analysis service developers, sentiment analysis service requesters as well as other researchers in the social media fanatical content domain. |
| first_indexed | 2024-03-05T21:18:24Z |
| format | Conference or Workshop Item |
| id | utm.eprints-100307 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:18:24Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | utm.eprints-1003072023-03-29T07:46:49Z http://eprints.utm.my/100307/ Comparative study of service-based sentiment analysis of social networking sites fanatical contents Garba, Salisu Abdullahi, Marzuk Alkhammash, Reem Nasser, Maged QA75 Electronic computers. Computer science The proliferation of mobile web services (MWS) for sentiment analysis makes it hard to identify the best MWS for sentiment analysis of social networking sites’ fanatical contents. This paper carries out a comparative study of service-based sentiment analysis of social networking sites’ fanatical contents. This is achieved by cleaning, transformation, and reduction of fanatical contents from the publicly available social media dataset, and multiple MWS are selected for comparison using the application programming interface (API) key of the MWS. To evaluate the service-based sentiment analysis, standard measures such as accuracy, precision, recall, and f-measures of sentiment result for each MWS are used. The result shows that Dandelion SA performs better in terms of accuracy (72.5%) and recall (76.9%), while Wingify SA performs better in terms of precision (88.6%) and f-measure (75.5%), though AlchemyAPI offers the most crucial elements in analyzing sentiments such as emotion, relevance score, and sentiment type. The outcomes of this paper will benefit the sentiment analysis service developers, sentiment analysis service requesters as well as other researchers in the social media fanatical content domain. 2022 Conference or Workshop Item PeerReviewed Garba, Salisu and Abdullahi, Marzuk and Alkhammash, Reem and Nasser, Maged (2022) Comparative study of service-based sentiment analysis of social networking sites fanatical contents. In: 6th International Conference of Reliable Information and Communication Technology 2021 (IRICT 2021), 22 - 23 December 2021, Virtual, Online. http://dx.doi.org/10.1007/978-3-030-98741-1_28 |
| spellingShingle | QA75 Electronic computers. Computer science Garba, Salisu Abdullahi, Marzuk Alkhammash, Reem Nasser, Maged Comparative study of service-based sentiment analysis of social networking sites fanatical contents |
| title | Comparative study of service-based sentiment analysis of social networking sites fanatical contents |
| title_full | Comparative study of service-based sentiment analysis of social networking sites fanatical contents |
| title_fullStr | Comparative study of service-based sentiment analysis of social networking sites fanatical contents |
| title_full_unstemmed | Comparative study of service-based sentiment analysis of social networking sites fanatical contents |
| title_short | Comparative study of service-based sentiment analysis of social networking sites fanatical contents |
| title_sort | comparative study of service based sentiment analysis of social networking sites fanatical contents |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT garbasalisu comparativestudyofservicebasedsentimentanalysisofsocialnetworkingsitesfanaticalcontents AT abdullahimarzuk comparativestudyofservicebasedsentimentanalysisofsocialnetworkingsitesfanaticalcontents AT alkhammashreem comparativestudyofservicebasedsentimentanalysisofsocialnetworkingsitesfanaticalcontents AT nassermaged comparativestudyofservicebasedsentimentanalysisofsocialnetworkingsitesfanaticalcontents |