Sentiment Analysis on Online Videos by Time-Sync Comments

Abstract

Video highlights are welcomed by audiences, and are composed of interesting or meaningful shots, such as funny shots. However, video shots of highlights are currently edited manually by video editors, which is inconvenient and consumes an enormous amount of time. A way to help video editors locate video highlights more efficiently is essential. Since interesting or meaningful highlights in videos usually imply strong sentiments, a sentiment analysis model is proposed to automatically recognize sentiments of video highlights by time-sync comments. As the comments are synchronized with video playback time, the model detects sentiment information in time series of user comments. Moreover, in the model, a sentimental intensity calculation method is designed to compute sentiments of shots quantitatively. The experiments show that our approach improves the F1 score by 12.8% and overlapped number by 8.0% compared with the best existing method in extracting sentiments of highlights and obtaining sentimental intensities, which provides assistance for video editors in editing video highlights efficiently.

Personalization of Visual Content of Interactive Art in Augmented Reality Based on Individual User Preferences

“…For example, in the article «Sentiment Analysis on Online Videos by Time-Sync Comments. Entropy» [11] authors use the methods of sentiment analysis and topic clustering to study educational content on YouTube. In particular, the authors consider how these techniques can be used to analyze comments to determine popular themes, emotional connection to material, and the overall effectiveness of educational content.…”

“…VSA technology processes the video input by identifying facial expressions, body language and voice tones to determine the viewer's feelings in real time. This analysis provides a deep understanding of how content affects emotions, which can be used to personalize experiences in ways that resonate more deeply with each individual [13,14].…”