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WISHclusive Comments Dataset
Social Media and Networking
Tags and Keywords
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Free
About
This dataset provides a collection of user comments from the official Wish 107.5 YouTube Channel. Wish 107.5 is a prominent all-hits FM radio station in the Philippines, known for its innovative Mobile Radio Booth, the WISH 107.5 Bus, which brings live music performances to public spaces. The dataset captures social interactions and engagement related to the station's content, offering valuable insights into audience sentiment and reactions to music and radio broadcasts. It is ideal for analysing public opinion and social media trends within the music and entertainment industry.
Columns
The dataset includes the following columns:
- commentThread.videoId: Identifies the specific video to which the comment thread belongs. Includes main video IDs like
1dF8IHWGYuA(11%) andvqcxM7dSJtw(3%), with many other unique video IDs (over 1.5 million). - commentThread.id: A unique identifier for the comment thread.
- commentThread.canReply: A boolean indicating whether replies are enabled for the comment thread. The vast majority of threads (over 2 million) allow replies.
- commentThread.totalReplyCount: The total number of replies within a comment thread. This column appears to have a wide range of values.
- commentThread.isPublic: A boolean indicating if the comment thread is publicly visible. All comment threads in the dataset are public.
- comment.id: A unique identifier for an individual comment.
- comment.textOriginal: The original text content of the comment.
- comment.hashedAuthorDisplayName: An anonymised display name for the comment author.
- comment.canRate: A boolean indicating if the comment can be rated by viewers. All comments in the dataset are rateable.
- comment.viewerRating: The rating given to the comment by viewers, represented across a broad range of numerical values (over 500 unique values).
Distribution
The dataset is typically provided in a CSV format and contains approximately 2,043,530 records. It presents a tabular structure with distinct columns detailing various aspects of YouTube comments and their threads. Specific row counts for individual columns, where applicable, align with this total record count.
Usage
This dataset is well-suited for a variety of applications, including:
- Sentiment analysis of public comments on music and radio content.
- Audience engagement studies for media channels.
- Natural Language Processing (NLP) research on informal text data.
- Trend analysis in social media conversations related to entertainment.
- Understanding viewer reactions to specific video content.
Coverage
The dataset's content originates from the official YouTube channel of Wish 107.5, a Filipino radio station. While the source content is from the Philippines, YouTube's global reach suggests comments may come from a worldwide audience. No specific time range for the comments is provided, and demographic information about the commenters is not available within the dataset itself. The dataset listing is available globally.
License
CC-BY-NC
Who Can Use It
This dataset is valuable for:
- Researchers studying social media dynamics, NLP, or audience reception in media.
- Data Scientists looking for real-world text data for machine learning models.
- Marketers and Media Analysts interested in understanding public sentiment and engagement with entertainment content.
- Students undertaking projects in data analysis or social computing.
Dataset Name Suggestions
- Wish 107.5 YouTube Comment Archive
- Filipino Music Channel Comments
- Wish 107.5 YT Audience Insights
- YouTube Radio Show Comments
- WISHclusive Comments Dataset
Attributes
Original Data Source: Wish 107.5 Official YT Channel Comments
QUALITY