Performance Analysis of Hyperparameters on a Sentiment Analysis Model Article Swipe
Irfan Ali Kandhro
,
Sahar Zafar Jumani
,
Fayyaz Ali
,
Z. U. Shaikh
,
Muzammi Arshad Arain
,
Aftab Ahmed Shaikh
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.4016211
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.4016211
This paper focuses on the performance analysis of hyperparameters of the Sentiment Analysis (SA) model of a course evaluation dataset. The performance was analyzed regarding hyperparameters such as activation, optimization, and regularization. In this paper, the activation functions used were adam, adagrad, nadam, adamax, and hard_sigmoid, the optimization functions were softmax, softplus, sigmoid, and relu, and the dropout values were 0.1, 0.2, 0.3, and 0.4. The results indicate that parameters adam and softmax with dropout value 2.0 are effective when compared to other combinations of the SA model. The experimental results reveal that the proposed model outperforms the state-of-the-art deep learning classifiers.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doaj.org/article/b96ccd801ac94e39b75f861e4617d40a
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4287695590
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4287695590Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5281/zenodo.4016211Digital Object Identifier
- Title
-
Performance Analysis of Hyperparameters on a Sentiment Analysis ModelWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-08-16Full publication date if available
- Authors
-
Irfan Ali Kandhro, Sahar Zafar Jumani, Fayyaz Ali, Z. U. Shaikh, Muzammi Arshad Arain, Aftab Ahmed ShaikhList of authors in order
- Landing page
-
https://doaj.org/article/b96ccd801ac94e39b75f861e4617d40aPublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doaj.org/article/b96ccd801ac94e39b75f861e4617d40aDirect OA link when available
- Concepts
-
Hyperparameter, Sentiment analysis, Computer science, Natural language processing, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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