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...
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 ...
Through comments, likes, and other interactions with social media posts, people can share their thoughts and feelings. YouTube sentiment analysis has increased as a result of the sharp increase in the amount of user- or viewer-generated data or material on the platform. This study creates a ...
www.nature.com/scientificreports OPEN Sentiment analysis of the Hamas‑Israel war on YouTube comments using deep learning Ashagrew Liyih 1*, Shegaw Anagaw 2, Minichel Yibeyin 3* &Yitayal Tehone 1 Sentiment analysis aims to classify text based on the opinion or...
To do that total dataset has been subseted using words those have high correlation with the ‘key words’ which are rohingya, india, dhaka, cricket and dance in this case. In the next phase comments will be collected for the videos under these categoris and sentiment analysis will be ...
We can conduct large-scale analysis using SQL commands over the full dataset. We will complement this dataset with scraped comments of top videos (based on view count) to both add an element of NLP analysis which may also be a useful signal towards predicting whether or not a video may ...
Sentiment deviations in responses to movie trailers across social media platforms a unique dataset of social media comments to 413 movie trailers, we document the systematic differences in sentiments expressed on Facebook and YouTube. Fi... Y Hu,M Chen,SK Hui - 《Marketing Letters》 被引量: ...
Comments:Analyse the volume and sentiment of comments to understand viewer feedback and engagement. Look for common themes or suggestions that could be useful for your content strategy. Shares:High share counts indicate content that viewers find valuable enough to recommend to others. This can help...
groups, two of which are hope and non-hope, while the last (Other languages) was introduced to account for comments not in the required language. These classes were chosen because they provided a sufficient amount of generalization for describing the remarks in the EDI hope speech dataset. ...
country in the data set)Input keyword file (ending in .tsv): keywords.tsvInput comment file (ending in .csv): comments.csvInput a country to analyze (or "all" for all countries): germanyInput the name of the report file (ending in .txt): report.txtError: No comments in dataset!Examp...