Sentiment Analysis on YouTube: A Brief Survey
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Abstract (arXiv)
Sentiment analysis or opinion mining is the field of study related to analyze opinions, sentiments, evaluations, attitudes, and emotions of users which they express on social media and other online resources. The revolution of social media sites has also attracted the users towards video sharing sites, such as YouTube. The online users express their opinions or sentiments on the videos that they watch on such sites. This paper presents a brief survey of techniques to analyze opinions posted by users about a particular video.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Nov 2015.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 3.
5 papers.
- 2023Transfer Learning for Low-Resource Sentiment Analysiscited by 1
- 2024Arabic Text Sentiment Analysis: Reinforcing Human-Performed Surveys with Wider Topic Analysiscited by 1
- 2021The Potential of Using Vision Videos for CrowdRE: Video Comments as a Source of Feedbackcited by 0
- 2024Understanding Social Perception, Interactions, and Safety Aspects of Sidewalk Delivery Robots Using Sentiment Analysiscited by 0
- 2024CineXDrama: Relevance Detection and Sentiment Analysis of Bangla YouTube Comments on Movie-Drama using Transformers: Insights from Interpretability Toolcited by 0
- 2024CineXDrama: Relevance Detection and Sentiment Analysis of Bangla YouTube Comments on Movie-Drama using Transformers: Insights from Interpretability Tool10 Nov 2024
- 2024Understanding Social Perception, Interactions, and Safety Aspects of Sidewalk Delivery Robots Using Sentiment Analysis9 Mar 2024
- 2024Arabic Text Sentiment Analysis: Reinforcing Human-Performed Surveys with Wider Topic Analysis4 Mar 2024
- 2023Transfer Learning for Low-Resource Sentiment Analysis10 Apr 2023
- 2021The Potential of Using Vision Videos for CrowdRE: Video Comments as a Source of Feedback4 Aug 2021