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Automatic Sentimental Analysis by Firefly with Levy and Multilayer Perceptron

D. Elangovan1,*, V. Subedha2

1 School of Computing, Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, 600118, India
2 Computer Science and Engineering, Panimalar Institute of Technology, Chennai, 600069, India

* Corresponding Author: D. Elangovan. Email: email

Computer Systems Science and Engineering 2023, 46(3), 2797-2808. https://doi.org/10.32604/csse.2023.031988

Abstract

The field of sentiment analysis (SA) has grown in tandem with the aid of social networking platforms to exchange opinions and ideas. Many people share their views and ideas around the world through social media like Facebook and Twitter. The goal of opinion mining, commonly referred to as sentiment analysis, is to categorise and forecast a target’s opinion. Depending on if they provide a positive or negative perspective on a given topic, text documents or sentences can be classified. When compared to sentiment analysis, text categorization may appear to be a simple process, but number of challenges have prompted numerous studies in this area. A feature selection-based classification algorithm in conjunction with the firefly with levy and multilayer perceptron (MLP) techniques has been proposed as a way to automate sentiment analysis (SA). In this study, online product reviews can be enhanced by integrating classification and feature election. The firefly (FF) algorithm was used to extract features from online product reviews, and a multi-layer perceptron was used to classify sentiment (MLP). The experiment employs two datasets, and the results are assessed using a variety of criteria. On account of these tests, it is possible to conclude that the FFL-MLP algorithm has the better classification performance for Canon (98% accuracy) and iPod (99% accuracy).

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APA Style
Elangovan, D., Subedha, V. (2023). Automatic sentimental analysis by firefly with levy and multilayer perceptron. Computer Systems Science and Engineering, 46(3), 2797-2808. https://doi.org/10.32604/csse.2023.031988
Vancouver Style
Elangovan D, Subedha V. Automatic sentimental analysis by firefly with levy and multilayer perceptron. Comput Syst Sci Eng. 2023;46(3):2797-2808 https://doi.org/10.32604/csse.2023.031988
IEEE Style
D. Elangovan and V. Subedha, "Automatic Sentimental Analysis by Firefly with Levy and Multilayer Perceptron," Comput. Syst. Sci. Eng., vol. 46, no. 3, pp. 2797-2808. 2023. https://doi.org/10.32604/csse.2023.031988



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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