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The Validity of Sentiment Analysis:Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms

Overview of attention for article published in Communication Methods and Measures, January 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 147)
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

twitter
79 tweeters
reddit
1 Redditor

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
143 Mendeley
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Title
The Validity of Sentiment Analysis:Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms
Published in
Communication Methods and Measures, January 2021
DOI 10.1080/19312458.2020.1869198
Authors

Wouter van Atteveldt, Mariken A. C. G. van der Velden, Mark Boukes

Twitter Demographics

The data shown below were collected from the profiles of 79 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 20%
Student > Master 24 17%
Researcher 16 11%
Student > Doctoral Student 12 8%
Lecturer 9 6%
Other 20 14%
Unknown 34 24%
Readers by discipline Count As %
Social Sciences 51 36%
Computer Science 15 10%
Business, Management and Accounting 11 8%
Arts and Humanities 7 5%
Economics, Econometrics and Finance 5 3%
Other 17 12%
Unknown 37 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 16 March 2022.
All research outputs
#635,419
of 21,181,573 outputs
Outputs from Communication Methods and Measures
#7
of 147 outputs
Outputs of similar age
#19,042
of 414,926 outputs
Outputs of similar age from Communication Methods and Measures
#1
of 3 outputs
Altmetric has tracked 21,181,573 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 147 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 95% 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 414,926 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them