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Unlocking Insights: Ethical Considerations and Classifications of Data Analytics for Social Networks
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Author(s): Madhav Narayan Singh (Shell India Markets Pvt. Ltd., India), Shanmuga Raja B. (Department of CSE, Kalasalingam Academy of Research and Education, Krishnankoil, India), Anakath A. S. (Department of Computer Science and Engineering, Saveetha School of Engineering, Chennai, India), R. Kannadasan (School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India)and Prabakaran N (School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India)
Copyright: 2024
Pages: 13
Source title:
Impact of AI on Advancing Women's Safety
Source Author(s)/Editor(s): Sivaram Ponnusamy (Sandip University, Nashik, India), Vibha Bora (G. H. Raisoni College of Engineering, Nagpur, India), Prema M. Daigavane (G. H. Raisoni College of Engineering, Nagpur, India)and Sampada S. Wazalwar (G. H. Raisoni College of Engineering, Nagpur, India)
DOI: 10.4018/979-8-3693-2679-4.ch015
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Abstract
The social media analytics, which relate to huge amount of data from various social media platforms, are used to understand an opinion from the written language such as tweets, chats, comments. In existing methods, the sentiment analysis on Xcorp (Twitter) was mostly used for emotion detection for the polling methods; and star ratings are used to see the response from people. In this model, using Twitter API to fetch the data and Naive Bayes model for classifying them. The tweets, retweets and comments are collected and processed with the positive, neutral, and negative responses from the user will be reflected for ethical considerations. The information obtained from this system is used in various applications like analysis of social media support for politicians, safety technology in social media, a review based on user response for a product, response from people or government for social or political issues (Hashtags), movies, etc. The system will help to visualize statistics to analyse people's responses to provide the most effective statistical tool for various industries.
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