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--- |
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license: cc-by-4.0 |
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task_categories: |
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- feature-extraction |
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language: |
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- en |
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tags: |
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- finance |
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- reddit |
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- social-media |
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- sentiment-analysis |
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- apple |
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- tesla |
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- microsoft |
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pretty_name: Reddit Finance Posts Sample Dataset (Apple/Tesla/Microsoft) |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Reddit Finance Posts Dataset (Apple, Tesla, Microsoft) |
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This dataset contains 12046 Reddit Posts collected from 20 finance-related subreddits via the Reddit API using the keywords **Apple**, **Tesla**, and **Microsoft**. |
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The included subreddits are: |
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``` |
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stocks, wallstreetbets, investing, StockMarket, options, RobinHood, |
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pennystocks, SecurityAnalysis, personalfinance, Dividends, CryptoCurrency, |
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CryptoMarkets, ETFs, FinancialIndependence, ValueInvesting, quant, |
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algotrading, forex, economy, Superstonk, spacs, financialplanning |
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``` |
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## About This Dataset |
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This is a **small-scale, beginner-friendly dataset** intended mainly for testing, prototyping, and educational purposes. |
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It serves as a minimal, ready-to-use sample for anyone who wants to experiment with Reddit finance discussions. |
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**Easy to Extend:** |
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The provided data collection pipeline (see [**emilpartow/financial-sentiment-pipeline**](https://github.com/emilpartow/financial-sentiment-pipeline)) makes it simple to expand the dataset with more comments, different time frames, additional companies, or other subreddits as needed. |
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If you need a larger or customized dataset, you can easily adapt and rerun the pipeline to collect more data for your own use case. |
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## Dataset Overview |
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Each row in the dataset contains metadata and content for a Reddit comment or post, with the following columns: |
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- `id`: Reddit post ID |
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- `title`: Title of the post |
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- `text`: Body text of the post (if available) |
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- `created_utc`: Timestamp in UTC |
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- `created_datetime`: Datetime (ISO format) |
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- `author`: Reddit username |
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- `score`: Reddit score (upvotes minus downvotes) |
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- `num_comments`: Number of comments (for posts) |
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- `upvote_ratio`: Upvote ratio (for posts) |
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- `flair`: Post flair (if available) |
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- `permalink`: Direct Reddit link to the comment or post |
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- `url`: URL (if different from permalink) |
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- `subreddit`: Name of the subreddit |
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- `company`: The matched company keyword (`Apple`, `Tesla`, or `Microsoft`) |
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## Potential Use Cases |
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- Sentiment analysis |
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- Named Entity Recognition (NER) |
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- Text classification |
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- Experiments with Reddit and finance text data |
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## Data Collection |
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All posts were collected using [PRAW (Python Reddit API Wrapper)](https://praw.readthedocs.io/). |
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Full code and data processing pipeline can be found here: |
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➡️ [**emilpartow/financial-sentiment-pipeline**](https://github.com/emilpartow/financial-sentiment-pipeline) |
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## Notes |
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- **No manual or verbal content review was performed:** The dataset consists of comments as collected via the Reddit API. There may be offensive, biased, or otherwise inappropriate content present. |
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- Please respect Reddit’s API Terms of Use when working with this dataset. |
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## License |
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[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) |
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--- |
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**Questions or feedback?** |
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Feel free to open an issue or discussion in the linked GitHub repository! |
