| Title |
How important is syntactic parsing accuracy? An empirical evaluation on rule-based sentiment analysis
|
|---|---|
| Published in |
Artificial Intelligence Review, October 2017
|
| DOI | 10.1007/s10462-017-9584-0 |
| Authors |
Carlos Gómez-Rodríguez, Iago Alonso-Alonso, David Vilares |
X Demographics
The data shown below were collected from the profiles of 20 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 States | 3 | 15% |
| Poland | 1 | 5% |
| Japan | 1 | 5% |
| Indonesia | 1 | 5% |
| Spain | 1 | 5% |
| Cameroon | 1 | 5% |
| Italy | 1 | 5% |
| France | 1 | 5% |
| Germany | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 80% |
| Scientists | 3 | 15% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 5 | 10% |
| Student > Postgraduate | 3 | 6% |
| Lecturer | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 10 | 19% |
| Unknown | 18 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 40% |
| Social Sciences | 4 | 8% |
| Arts and Humanities | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Linguistics | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 19 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 February 2024.
All research outputs
#4,233,870
of 25,323,244 outputs
Outputs from Artificial Intelligence Review
#67
of 900 outputs
Outputs of similar age
#70,864
of 335,104 outputs
Outputs of similar age from Artificial Intelligence Review
#2
of 7 outputs
Altmetric has tracked 25,323,244 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 900 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,104 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.