Sentiment Analysis in E-Commerce Platform
Abstract & Details
Research Area
Computer Science Engineering
Keywords
Key Modules
Extracting Opinion Targets
Word Alignment Techniques
Extraction and Alignment
Abstract
The proposed sentiment analysis framework for e-commerce platforms encompasses several key modules aimed at
efficiently extracting opinion targets and opinion words from a given dataset. These modules include co-extracting
opinion targets and words, partially supervised word alignment via POS tagging, and employing a constrained hill
climbing algorithm for partially supervised candidate extraction. Additionally, the framework incorporates word
alignment techniques and opinion association calculations to ascertain the confidence of extracted candidates. By
iteratively refining candidate confidence through various stages of extraction and alignment, the framework enables
accurate identification of opinion targets and words. The final step involves visualizing the graph of associated
opinions and performing sentiment classification.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Gnanappirathiba J | Hindusthan College of Engineering and Technology |
| 2 | Anjali V | Hindusthan College of Engineering and Technology |
| 3 | Atchaya T | Hindusthan College of Engineering and Technology |
| 4 | Santhiya K | Hindusthan College of Engineering and Technology |
| 5 | Sathya S | Hindusthan College of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
J, Gnanappirathiba, V, Anjali, T, Atchaya, K, Santhiya, & S, Sathya (2024). Sentiment Analysis in E-Commerce Platform. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 2365-2371.
MLA Style
J, Gnanappirathiba, et al. "Sentiment Analysis in E-Commerce Platform." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 2365-2371.
IEEE Style
Gnanappirathiba J, Anjali V, Atchaya T, Santhiya K, and Sathya S, "Sentiment Analysis in E-Commerce Platform," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 2365-2371, 2024.
Vancouver Style
J Gnanappirathiba, V Anjali, T Atchaya, K Santhiya, S Sathya. Sentiment Analysis in E-Commerce Platform. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):2365-2371.
Harvard Style
J, Gnanappirathiba, V, Anjali, T, Atchaya, K, Santhiya, & S, Sathya (2024) 'Sentiment Analysis in E-Commerce Platform', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 2365-2371.
Chicago Style
J, Gnanappirathiba, et al. "Sentiment Analysis in E-Commerce Platform." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 2365-2371.
Turabian Style
J, Gnanappirathiba, et al. "Sentiment Analysis in E-Commerce Platform." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 2365-2371.
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