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A sentiment analysis dataset of stock conversations on social media

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Stock Sentiment Analysis Dataset

by Surge AI, the world's most powerful data labeling platform and workforce

This dataset contains a sample from our Stock Sentiment Analysis dataset, a collection of social media mentions of publicly traded stocks, labeled by Surgers with a Positive or Negative sentiment. Read the blog post describing it in more detail!

doge-doge-coin

Examples

Positive Sentiment

Nice 9% pre market move for $para, pump my calls Uncle Buffett 🤑 https://t.co/8DGWrnHFlw

— Option Retiree (@option_oracle) May 17, 2022

$DDOG $NET $SNOW $GTLB $MDB are all horrible businesses and sure to go to 0

Plz keep selling them indiscriminately so I can buy more shares

TY

— Austin Lieberman (@LiebermanAustin) May 17, 2022

Negative Sentiment

It's not easy to invest in Biotechs.$XBI is trending and down another 3.5% today.

Here's the yearly look 😬 pic.twitter.com/LnaCaIM5Up

— Stocktwits (@Stocktwits) April 18, 2022

Elon Musk is poor.

Has a bunch of overvalued $TSLA pumped w/ government subsidies and some Ponzi #Bitcoin to sell though. pic.twitter.com/aD6pNefA12

— Quinn (@Quinnvest) May 17, 2022

Dataset Columns

  • Stock Ticker: The stock ticker identified in the Tweet, including the $
  • Tweet Text: The text of the tweet
  • Sentiment: The sentiment, either Positive or Negative
  • Tweet URL: The URL to the original tweet

Future Versions and More Datasets

We'll be adding more data points and social media sources over time.

You can also check out our other free datasets here.

Follow us on Twitter at @HelloSurgeAI to receive updates and be the first to learn about new datasets!

Contact

Need a larger set of stock conversations and their sentiment, or a dataset in other languages (Spanish, French, German, Japanese, Portuguese, etc)? Post an issue or reach out to [email protected]!

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