Koukopoulos, Anastasios and Farmakis, Timoleon and Katiaj, Pavlina and Fraidaki, Katerina and Kavatha, Marina (2024): Apple Vision Pro: A Reddit-Based Sentiment Analysis. Published in: Proceedings of the International Conference on Contemporary Marketing Issues , Vol. 1, No. 1 (2024)
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Abstract
In the digital era, emerging technologies such as Vision Pro are crucial for businesses due to their transformative potential across various industries. As an amalgamation of augmented reality (AR), virtual reality (VR), computer vision, and machine learning, Vision Pro technology represents a frontier in the intersection of human-computer interaction, offering innovative solutions and opening up new avenues for value creation in business. Considering the primary stages of this technology, this study aims to explore the spectrum of reactions in Vision Pro, presenting a sentiment analysis of the 'VisionPro' subreddit, a community dedicated to discussing vision technologies. Through sentiment analysis, we could discern patterns that suggest the factors driving positive and negative reactions within the community. This paper sheds light on the specific sentiments prevalent in the 'VisionPro' subreddit and demonstrates the applicability of sentiment analysis in understanding community dynamics in technology-focused online forums. The findings contribute to the broader discourse on public sentiment towards emerging technologies, offering implications for developers, researchers, and enthusiasts engaged in vision technology.
Item Type: | MPRA Paper |
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Original Title: | Apple Vision Pro: A Reddit-Based Sentiment Analysis |
Language: | English |
Keywords: | Vision Pro; Sentiment Analysis; RedditExtractoR; Augmented Reality; Virtual Reality |
Subjects: | M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M3 - Marketing and Advertising |
Item ID: | 123180 |
Depositing User: | Mr. Anastasios Koukopoulos |
Date Deposited: | 06 Jan 2025 09:23 |
Last Modified: | 06 Jan 2025 09:23 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/123180 |