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X Demographics
Mendeley readers
| Title |
Deep Learning-based Sentiment Analysis and Topic Modeling on Tourism During Covid-19 Pandemic
|
|---|---|
| Published in |
Frontiers in Computer Science, November 2021
|
| DOI | 10.3389/fcomp.2021.775368 |
| Authors |
Ram Krishn Mishra, Siddhaling Urolagin, J. Angel Arul Jothi, Ashwin Sanjay Neogi, Nishad Nawaz |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 33% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 11% |
| Student > Ph. D. Student | 6 | 7% |
| Professor | 5 | 5% |
| Lecturer | 4 | 4% |
| Student > Doctoral Student | 3 | 3% |
| Other | 12 | 13% |
| Unknown | 51 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 18% |
| Business, Management and Accounting | 7 | 8% |
| Engineering | 4 | 4% |
| Environmental Science | 2 | 2% |
| Unspecified | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 55 | 60% |