Penguin Rider Optimization Algorithm-Based Deep Recurrent Neural Network for Sentiment Classification of Political Twitter Data

Penguin Rider Optimization Algorithm-Based Deep Recurrent Neural Network for Sentiment Classification of Political Twitter Data

Vegi Harendranath, Sireesha Rodda
Copyright: © 2022 |Pages: 25
DOI: 10.4018/IJWSR.299019
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Abstract

This paper proposes an effective and optimal sentiment classification method named Penguin Rider optimization algorithm-based Deep Recurrent Neural Network (PeROA-based Deep RNN) to perform sentiment classification using political reviews. However, the proposed PeROA is developed by incorporating the Penguins Search Optimization Algorithm (PeSOA) with the Rider Optimization Algorithm (ROA). The sentiment classification process is progressed using the Deep RNN classifier, which in turn generate the optimal solution based on the fitness measure. Accordingly, the function with the minimal error value is accepted as the best solution. The sentiment-based features enable the classifier to perform better classification result with respect to the sentiment tweets. However, the proposed PeROA-based Deep RNN obtained better performance using the metrics, like accuracy, sensitivity, specificity, recall, F-measure, thread score, NPV, FPR,FNR and FDR with the values of 92.030%, 92.030%, 92.235%, 92.030%, 92.030%, 92.030%, 92.030%, 3.105%, 3.11%, and 3.105%, respectively.
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1. Introduction

In the recent decades, social media is widely expanded to deal with the social lives. However, the social media platform, like twitter and Facebook plays a major role in the way that how people interact with the politicians and world. The social media gained a significant economic role in the business activities, as the business strategy uses the social media as an integral part in the marketing area by considering the advantage of direction contact with the users (Mattila and Salman, 2018). E-commerce platforms, web forums, product reviews, stock market selling and buying, social media platform, feedbacks, and online blogs have changed the public data as the source (Dingli, et al., 2015a;Joshi and Simon, 2018). However, the public share the things that are happening round them, important reviews, opinions, and the geographic location. All the individual public is termed as social sensors in such a way that this information is grouped as subjective information. For instance, subjective information is termed as the collection of opinions and sentiments (Sakaki, et al., 2010; Guerrero, et al., 2015;Joshi and Simon, 2018). Millions of people use the social media around the world in order to connect to their coworkers, family members, and friends through mobile phones and computers. Various services are introduced in the social media to achieve target audience by offering some means of communication (Fu, et al., 2019;Yang, et al., 2019; Dingli, et al., 2015b) . However, social media is the platform, where the public can socially interact with others by using web based technology for quickly disseminating the details and information with the wide range of users.

According to Wikipedia, it is stated that social media is the internet-based resources used to discuss and share the details with the public. Social networking websites that are related to the community specifies the opinions and comments of the areas and the parties engaged with them. However, any website that allows the user to discuss the review, motivates the connection, group development, and material can be categorized as social media (Ma, et al., 2019;Zhang, et al., 2019;Si, 2016). However, communication in the political review is the process of posting the technology, media and the information in the service. In the social revenue, people can share the contents with others and allows the sharing of political data. With web 2.0 technology, the public can greatly offer political comments and information to other users with reduced professional communications (Song, et al., 2019;Zhang, et al., 2019;Bode, 2016). However, the communication that is related to the politics and the press are historically defined using the social conditions, which specify the communication processes and the audiences to transfer the messages with the effect of communication process. The focus of democratic society occupies more in the area of political reviews such that the concepts and core theories gained the assumptions regarding the well defined public spheres, where the communication is passed from the legitimate user in order to affect the actions and the opinions of citizens through the organization of press (Bennett and Pfetsch, 2018). In the recent decades, number of students suggested that there exists positive connection between the media system over strong service media for delivering the political knowledge and political information (Huang and Carley, 2019;Xue, et al., 2020; Stromback, 2017).

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