:Analyzing Public Sentiment and Trends on Twitter During the Launch of the Apple Vision Pro Using Social Media Analytics Tools

This research paper analyzes public sentiment and trending topics on Twitter during the launch of Apple Vision Pro. Using social media analytics tools such as Python, NLP libraries, and sentiment analysis models, tweets were collected and analyzed to identify user opinions, emotions, and discussion patterns. Visualizations such as word clouds, sentiment graphs, and trend timelines were generated. The findings provide insights into public perception of Apple’s latest technology product and highlight the effectiveness of social media platforms in gauging real-time reactions.