This article proposes a sentiment analysis model of YouTube video comments, using a deep neural network. We employed an embedding layer to represent input text as a tensor, then we used a pair of convolutional layers to extract features and a fully connected layer to make the classification. ...
Since the YouTube comments data is publicly available, you can easily copy-paste it into a spreadsheet or excel and create a dataset. Using that dataset, you can perform sentiment analysis or apply your AI algorithms to it. But, manually copying data to an Excel sheet is time-consuming and...
Sentiment Analysis on Youtube Comments: A brief study 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 med... ...
Al-Tamimi, A.K., Shatnawi, A., Bani-Issa, E.: Arabic sentiment analysis of YouTube comments. In: Proceedings of the 2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, Aqaba, Jordan, pp. 1–6 (2017). IEEE Alakrot A, Murray L, Nikolov NS (2018) ...
SENTIMENT ANALYSIS OF WEST POP MUSIC BASED ON COMMENTS IN YOUTUBE USING NAIVE BAYES CLASSIFIER 来自 Semantic Scholar 喜欢 0 阅读量: 60 作者: MH Muhammad 摘要: Music world in Indonesia now is growing. proved from the increasing number of new musicians in Indonesia. A large number of musicians...
which identifies and analyze the state of the people through online andsocial media platformslike Twitterand YouTube. Sentiments analysis is analyzed by two aspects, positive and negative. The sudden use of social media increased drastically forcing many people to increase in their stress level and ...
360-MAM-Select utilises sentiment analysis, emotion modeling and gamification techniques applied to people's comments on videos, for the recommendation of media assets. Here, we discuss the architecture of 360-MAM-Select, including its sentiment analysis module, 360-MAM-Affect and gamification module...
If we must make use of this to extract some information and to use that to make recommendation systems, to know the mental status of any person or to find the review, we have to perform the sentiment analysis of those tweets. Recently, deep learning approaches emerged as powerful ...
Sentiment analysis is an emerging trend nowadays to understand people’s sentiments in multiple situations in their quotidian life. Social media data
YouTube is likely the most popular of them, with millions of uploaded videos and billions of comments for all these videos. This paper presents a new Music dataset, which has the YouTube comments written in Myanmar language, to be applied in sentiment analysis. Data preprocessing is very ...