Study of the Problems of Determining Public Opinion of the Israeli-Palestinian War in Social Networks

Abstract

This paper explores the use of neural networks for determining public opinion on the Israeli-Palestinian conflict. In today's world, where numerous user opinions on various topics are posted daily on social media platforms, it is important to be able to analyze this public sentiment. The method of sentiment analysis and weighting of votes in comments is proposed, allowing for the identification of overall audience moods and assessment of their reactions to different events or content. The research results indicate the potential usefulness of these methods for marketing strategies, reputation management, and decision-making in various fields. However, there are challenges associated with data verification and consideration of manipulative interventions in public opinion. This work aims to review the current state of research in this area and identify prospects for further development. In today's digital world, analyzing public opinion on social media is becoming increasingly important. Understanding how users react to various topics and events is crucial for various fields, from marketing to politics. This paper discusses methods of sentiment analysis and vote weighting in comments using the example of analyzing public opinion on the Israeli-Palestinian conflict on the Reddit social network. The use of natural language processing tools, machine learning, and data visualization allows for valuable insights into users' emotional attitudes toward discussed topics and trends in public opinion. However, to achieve the best results, it is necessary to consider not only textual content but also social interaction and user status. The development of effective social media analysis tools opens the way to a deeper understanding of public opinion and making informed decisions in various areas of social life.