Datasets:
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README.md
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# Reddit Finance Comments Dataset (Apple, Tesla, Microsoft)
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This dataset contains 12046 comments collected from 20 finance-related subreddits
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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 [
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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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All comments 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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➡️ [**
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## Notes
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**Questions or feedback?**
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Feel free to open an issue or discussion in the linked GitHub repository!
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license: cc-by-sa-4.0
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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 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 Comments Dataset (Apple, Tesla, Microsoft)
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This dataset contains 12046 comments collected from 20 finance-related subreddits
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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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All comments 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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---
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**Questions or feedback?**
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Feel free to open an issue or discussion in the linked GitHub repository!
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