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Book Recommendation Social Data
Social Media and Networking
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset captures discussions about books from the r/booksuggestions subreddit, a community where users share and receive book recommendations. It contains both posts and comments, providing a rich source of text data related to book interests and conversations. The collection was facilitated using praw, The Python Reddit API Wrapper. It is suitable for a wide range of analytical applications, including understanding community dynamics and extracting insights into user preferences for literature.
Columns
- title: The title of the Reddit post. This field is only relevant for posts.
- score: Represents the score of a post, indicating its impact or popularity, often based on the number of comments or upvotes. This field is only relevant for posts.
- id: A unique identifier assigned to each post or comment.
- url: The URL linking directly to the post thread. This field is only relevant for posts.
- comms_num: The total number of comments associated with a specific post. This field is only relevant for posts.
- created: The date on which the post or comment was originally created.
- body: The main text content of the post or comment. This field is relevant for both posts and comments.
- timestamp: A numerical timestamp indicating the moment of creation for a post or comment.
Distribution
The dataset encompasses a substantial number of entries, though the exact total count of rows or records is not explicitly provided. It includes a variety of scores for posts, with the majority falling within the lower ranges (e.g., between -9 and 48.80 or 0 and 61.40). The scores can go up to 569 or 614 in some instances. The data structure includes distinct fields for posts and comments, allowing for separate or integrated analysis. Data files are typically provided in CSV format.
Usage
This dataset is ideal for:
- Natural Language Processing (NLP) tasks, such as sentiment analysis, topic modelling, and text classification related to book discussions.
- Social media analysis, to explore patterns of interaction and community behaviour within the r/booksuggestions subreddit.
- Recommendation system development, by leveraging user-generated content to suggest books.
- Market research, to identify popular book genres, authors, or themes based on community interest.
Coverage
The dataset's time range spans from 7th December 2021 to 11th January 2022. Geographically, the data is global in scope, reflecting the international user base of Reddit. While specific demographics of the users are not provided, the content represents discussions from individuals participating in a public online forum dedicated to book suggestions.
License
CC0
Who Can Use It
- Data Scientists and NLP Researchers: For building and testing models related to text analysis, community understanding, and content recommendation.
- Social Media Analysts: To study online community engagement, trends, and user behaviour patterns.
- Content Creators and Publishers: To gain insights into reader preferences and popular discussion topics for books.
- Students and Academics: For educational projects and research focused on digital humanities, social networks, or data mining.
Dataset Name Suggestions
- Reddit Book Discussions
- r/booksuggestions Dataset
- Online Book Community Data
- Book Recommendation Social Data
Attributes
Original Data Source: Reddit Book Suggestions
QUALITY