1 dataset found
  1. Crypto News Agent Visuals

    • kaggle.com
    zip
    Updated Apr 15, 2025
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    Sherline Herold (2025). Crypto News Agent Visuals [Dataset]. https://www.kaggle.com/datasets/sherlineherold/crypto-news-agent-visuals
    Explore at:
    zip(325053 bytes)Available download formats
    Dataset updated
    Apr 15, 2025
    Authors
    Sherline Herold
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset contains visual assets and test data used in the Crypto News Sentiment Agent project, developed as part of the 2025Q1 Google & Kaggle GenAI Intensive Capstone.

    It includes:

    1. Line and dual-axis charts illustrating BTC price trends, 7-day moving averages, and rolling volatility
    2. Sentiment classification bar chart showing positive, neutral, and negative breakdowns of crypto headlines
    3. CSV file with 11 negative crypto news headlines (used to test VADER, TextBlob, and RoBERTa sentiment models)
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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Sherline Herold (2025). Crypto News Agent Visuals [Dataset]. https://www.kaggle.com/datasets/sherlineherold/crypto-news-agent-visuals
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Crypto News Agent Visuals

Images for the GenAI Capstone blogpost

Explore at:
zip(325053 bytes)Available download formats
Dataset updated
Apr 15, 2025
Authors
Sherline Herold
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Description

This dataset contains visual assets and test data used in the Crypto News Sentiment Agent project, developed as part of the 2025Q1 Google & Kaggle GenAI Intensive Capstone.

It includes:

  1. Line and dual-axis charts illustrating BTC price trends, 7-day moving averages, and rolling volatility
  2. Sentiment classification bar chart showing positive, neutral, and negative breakdowns of crypto headlines
  3. CSV file with 11 negative crypto news headlines (used to test VADER, TextBlob, and RoBERTa sentiment models)
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