The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
| Title |
AWESSOME : An unsupervised sentiment intensity scoring framework using neural word embeddings
|
|---|---|
| Published by |
Springer
|
| DOI | 10.1007/978-3-030-72240-1_56 |
| Authors |
Htait, Amal, Azzopardi, Leif |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 78% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 4 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 1 | 17% |
| Computer Science | 1 | 17% |
| Unknown | 4 | 67% |