دورية أكاديمية
Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges
| العنوان: | Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges |
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| المؤلفون: | Rashid, Ayesha, Farooq, Muhammad Shoaib, Abid, Adnan, Umer, Tariq, Bashir, Ali Kashif, Zikria, Yousaf Bin |
| بيانات النشر: | Springer |
| سنة النشر: | 2023 |
| المجموعة: | eSpace - Manchester Metropolitan University's Research Repository |
| الوصف: | Intention mining is a promising research area of data mining that aims to determine end-users’ intentions from their past activities stored in the logs, which note users’ interaction with the system. Search engines are a major source to infer users’ past searching activities to predict their intention, facilitating the vendors and manufacturers to present their products to the user in a promising manner. This area has been consistently getting pertinence with an increasing trend for online purchasing. Noticeable research work has been accomplished in this area for the last two decades. There is no such systematic literature review available that provides a comprehensive review in intension mining domain to the best of our knowledge. This article presents a systematic literature review based on 109 high-quality research papers selected after rigorous screening. The analysis reveals that there exist eight prominent categories of intention. Furthermore, a taxonomy of the approaches and techniques used for intention mining have been discussed in this article. Similarly, six important types of data sets used for this purpose have also been discussed in this work. Lastly, future challenges and research gaps have also been presented for the researchers working in this domain. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | text |
| اللغة: | English |
| العلاقة: | https://e-space.mmu.ac.uk/634327Test/; http://dx.doi.org/10.1007/s40747-021-00342-9Test; https://e-space.mmu.ac.uk/634327/1/s40747-021-00342-9.pdfTest; Rashid, Ayesha , Farooq, Muhammad Shoaib , Abid, Adnan , Umer, Tariq , Bashir, Ali Kashif ORCID logoorcid:0000-0001-7595-2522 and Zikria, Yousaf Bin ORCID logoorcid:0000-0002-6570-5306 (2023) Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges. Complex and Intelligent Systems, 9 (3). pp. 2773-2799. ISSN 2199-4536 |
| الإتاحة: | https://doi.org/10.1007/s40747-021-00342-9Test https://e-space.mmu.ac.uk/634327/1/s40747-021-00342-9.pdfTest |
| حقوق: | cc_by_4 ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.3EC91C4E |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |