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Word Embedding Composition for Data Imbalances in Sentiment and Emotion Classification

Overview of attention for article published in Cognitive Computation, February 2015
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Mentioned by

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1 X user

Citations

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Readers on

mendeley
96 Mendeley
Title
Word Embedding Composition for Data Imbalances in Sentiment and Emotion Classification
Published in
Cognitive Computation, February 2015
DOI 10.1007/s12559-015-9319-y
Authors

Ruifeng Xu, Tao Chen, Yunqing Xia, Qin Lu, Bin Liu, Xuan Wang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Ireland 1 1%
Egypt 1 1%
Unknown 93 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 22%
Student > Master 18 19%
Student > Bachelor 8 8%
Researcher 7 7%
Student > Doctoral Student 6 6%
Other 14 15%
Unknown 22 23%
Readers by discipline Count As %
Computer Science 44 46%
Engineering 8 8%
Social Sciences 6 6%
Business, Management and Accounting 3 3%
Economics, Econometrics and Finance 2 2%
Other 9 9%
Unknown 24 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 February 2015.
All research outputs
#18,395,201
of 22,785,242 outputs
Outputs from Cognitive Computation
#220
of 412 outputs
Outputs of similar age
#256,622
of 352,350 outputs
Outputs of similar age from Cognitive Computation
#2
of 11 outputs
Altmetric has tracked 22,785,242 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 412 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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 352,350 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.