A comprehensive bibliometric analysis on opinion mining and sentiment analysis global research output
文献类型：期刊论文
| 作者 | Musa, Ibrahim Hussein2,3; Zamit, Ibrahim1; Xu, Kang4; Boutouhami, Khaoula2,3; Qi, Guilin2,3 |
| 刊名 | JOURNAL OF INFORMATION SCIENCE
 |
| 出版日期 | 2022-09-07 |
| 页码 | 11 |
| 关键词 | Bibliometric opinion mining Scopus sentiment analysis |
| ISSN号 | 0165-5515 |
| DOI | 10.1177/01655515211061866 |
| 英文摘要 | The rise of the Internet and social media (i.e. reviews, forum discussions, blogs and social networks) constituted an interesting source to detect user opinion trends. This study examines the global publication output on opinion mining and sentiment analysis from documents published in 2000 to 2020. Bibliometric indicators on the trends, most cited papers, authors, institutions, countries, funding agencies and research subject areas were independently screened and analysed using bibliometrix package in R. A total of 7603 eligible documents were identified from 2000 to 2020. The total number of citations for all publications was 129,251, with an average of 17.0 citations per publication. About 14,629 authors wrote those documents with 1.93 authors per document and a collaboration index of 1.98. The most prolific author was Cambria Erik, with 47 publications and h-index of 42. The leading countries for research were China with n = 824, India with n = 576 and the United States with n = 244 publications. Lecture Notes in Computer Science proceedings was the top-ranked venue for publications with n = 434, h-index of 32 and 4598 total citation scores. National Natural Science Foundation of China was the top-ranked funding agency for research, and most of the publications were computer science (n = 6320) documents. The study provides an in-depth assessment of the landmark of the hot research topic and acknowledges the contribution of the most productive and active authors across different countries in the world. In addition, the findings could support the younger scholars in their future research direction and improve the efficiency in potential future research collaborations and projects. |
| WOS研究方向 | Computer Science ; Information Science & Library Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000852202900001 |
| 出版者 | SAGE PUBLICATIONS LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/19424]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Qi, Guilin |
| 作者单位 | 1.Shenzhen Inst Adv Technol, Ctr High Performance Comp, Shenzhen, Guangdong, Peoples R China 2.Southeast Univ, Sch Comp Sci & Engn, Nanjing 211189, Jiangsu, Peoples R China 3.Southeast Univ, Key Lab Comp Network & Informat Integrat, Minist Educ, Nanjing, Jiangsu, Peoples R China 4.Nanjing Univ Posts & Telecommun, Sch Comp Sci, Nanjing, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Musa, Ibrahim Hussein,Zamit, Ibrahim,Xu, Kang,et al. A comprehensive bibliometric analysis on opinion mining and sentiment analysis global research output[J]. JOURNAL OF INFORMATION SCIENCE,2022:11. |
| APA | Musa, Ibrahim Hussein,Zamit, Ibrahim,Xu, Kang,Boutouhami, Khaoula,&Qi, Guilin.(2022).A comprehensive bibliometric analysis on opinion mining and sentiment analysis global research output.JOURNAL OF INFORMATION SCIENCE,11. |
| MLA | Musa, Ibrahim Hussein,et al."A comprehensive bibliometric analysis on opinion mining and sentiment analysis global research output".JOURNAL OF INFORMATION SCIENCE (2022):11. |
入库方式： OAI收割
来源：计算技术研究所
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