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Optimizing Deep Learning Models to Address Class Imbalance in Code Comment Classification

Overview of attention for article published in arXiv, April 2025
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  • High Attention Score compared to outputs of the same age and source (89th percentile)

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Article details
Title
Optimizing Deep Learning Models to Address Class Imbalance in Code Comment Classification
Published in
arXiv, April 2025
DOI 10.1109/nlbse66842.2025.00016
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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 February 2025.
All research outputs
#16,939,952
of 28,774,999 outputs
Outputs from arXiv
#212,307
of 1,179,553 outputs
Outputs of similar age
#106,653
of 316,236 outputs
Outputs of similar age from arXiv
#7,195
of 66,373 outputs
Altmetric has tracked 28,774,999 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,179,553 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 81% 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 316,236 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 66,373 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.