Reddit r/CryptoCurrency Sentiment Archive
Crypto & Blockchain Transactions
Tags and Keywords
Trusted By




"No reviews yet"
Free
About
Unfiltered discussions, posts, and comments extracted from the r/CryptoCurrency subreddit offer a granular view of market sentiment and community trends regarding various digital currencies. Collected via the Python Reddit API Wrapper (PRAW), this collection captures the pulse of the crypto community, including textual content, engagement metrics, and timestamps. It serves as a valuable resource for analysing social signals in the financial market, tracking public opinion on specific coins, and performing natural language processing tasks on social media discourse.
Columns
- title: The header text relevant to the forum post.
- score: A metric representing the net impact of the post or comment, calculated based on upvotes and downvotes.
- id: The unique identifier assigned to the specific post or comment.
- url: The direct link associated with the post thread (relevant for posts).
- comms_num: The total count of comments attached to the post.
- created: The date and time when the entry was originally posted.
- body: The main textual content of the post or the comment itself.
- timestamp: The specific timestamp recording when the data point occurred.
Distribution
- Format: .csv
- Size: 20.96 MB
- Structure: Rectangular data with 8 columns.
- Record Count: Approximately 40,900 rows (40.9k valid entries).
Usage
- Sentiment Analysis: Evaluating positive or negative community sentiment towards specific cryptocurrencies.
- Topic Modelling: Identifying trending subjects and emerging discussions within the crypto space.
- Social Network Analysis: Understanding engagement patterns through scores and comment counts.
- Text Mining: Extracting keywords and linguistic patterns from user-generated financial discussions.
Coverage
- Geographic Scope: Global (Internet-based community).
- Time Range: 14 August 2021 to 19 September 2021.
- Content: Includes both initial posts and subsequent comments, with a split of approximately 54% comments and 46% posts/other.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For training NLP models on financial social media text.
- Financial Analysts: To correlate social sentiment with market performance.
- Crypto Traders: For gauging retail investor interest and "hype" cycles.
- Academic Researchers: Studying online community dynamics and crowd psychology in finance.
Dataset Name Suggestions
- Reddit r/CryptoCurrency Sentiment Archive
- Crypto Social Media Discussion Stream
- r/CryptoCurrency Posts and Comments Collection
- Raw Crypto Reddit Activity Log
Attributes
Original Data Source: Reddit r/CryptoCurrency Sentiment Archive
Loading...
