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A Comprehensive Roadmap on Bangla Text-based Sentiment Analysis

Overview of attention for article published in ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), April 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
20 Mendeley
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Title
A Comprehensive Roadmap on Bangla Text-based Sentiment Analysis
Published in
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), April 2023
DOI 10.1145/3572783
Authors

Shumaiya Akter Shammi, Sajal Das, Narayan Ranjan Chakraborty, Sumit Kumar Banshal, Nishu Nath

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 15%
Student > Ph. D. Student 2 10%
Lecturer > Senior Lecturer 1 5%
Student > Doctoral Student 1 5%
Student > Master 1 5%
Other 0 0%
Unknown 12 60%
Readers by discipline Count As %
Computer Science 8 40%
Unknown 12 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 January 2023.
All research outputs
#15,698,002
of 26,179,695 outputs
Outputs from ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
#52
of 126 outputs
Outputs of similar age
#195,296
of 428,554 outputs
Outputs of similar age from ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
#5
of 11 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 126 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 57% 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 428,554 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 52% of its contemporaries.
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 has gotten more attention than average, scoring higher than 54% of its contemporaries.