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Sentiment analysis of online product reviews using DLMNN and future prediction of online product using IANFIS

Overview of attention for article published in Journal of Big Data, May 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#34 of 321)
  • High Attention Score compared to outputs of the same age (88th percentile)

Mentioned by

twitter
46 tweeters

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
91 Mendeley
Title
Sentiment analysis of online product reviews using DLMNN and future prediction of online product using IANFIS
Published in
Journal of Big Data, May 2020
DOI 10.1186/s40537-020-00308-7
Authors

P. Sasikala, L. Mary Immaculate Sheela

Twitter Demographics

The data shown below were collected from the profiles of 46 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 11%
Student > Ph. D. Student 9 10%
Lecturer 8 9%
Student > Master 6 7%
Other 2 2%
Other 12 13%
Unknown 44 48%
Readers by discipline Count As %
Computer Science 28 31%
Business, Management and Accounting 2 2%
Decision Sciences 2 2%
Social Sciences 2 2%
Unspecified 2 2%
Other 9 10%
Unknown 46 51%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 25 September 2020.
All research outputs
#1,417,995
of 21,749,791 outputs
Outputs from Journal of Big Data
#34
of 321 outputs
Outputs of similar age
#36,297
of 307,951 outputs
Outputs of similar age from Journal of Big Data
#1
of 1 outputs
Altmetric has tracked 21,749,791 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 321 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 89% 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 307,951 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 88% of its contemporaries.
We're also able to compare this research output to 1 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