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Stock Market Tweet Sentiment
Stock & Market Data
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About
This dataset provides over 80,000 tweets alongside corresponding stock market price and volume data. Its primary purpose is to facilitate sentiment analysis, allowing for the exploration of the connection between public sentiment and stock price movements, and enabling stock price prediction. The tweets cover the top 25 most-watched stock tickers on Yahoo Finance.
Columns
- Date: Specifies the date and time when the tweet was posted.
- Tweet: Contains the full text of the tweet.
- Stock Name: Lists the full stock ticker name associated with the tweet (e.g., TSLA, TSM).
- Company Name: Provides the full company name corresponding to the tweet and stock ticker (e.g., Tesla, Inc., Taiwan Semiconductor Manufacturing Company Limited).
Distribution
The dataset is typically available as a CSV file, named
stock_tweets.csv, and is approximately 18.04 MB in size. It comprises over 80,000 records, specifically 80,800 valid entries, and is structured across 4 distinct columns.Usage
This dataset is ideal for a variety of applications, including:
- Experimenting with sentiment analysis models.
- Developing and testing algorithms for predicting stock prices.
- Investigating the correlation and impact of public sentiment on stock price fluctuations.
Coverage
The dataset spans a time range from 30th September 2021 to 30th September 2022. It focuses on tweets related to the top 25 most-watched stock tickers on Yahoo Finance. While specific geographic coverage is not detailed, the nature of stock tickers implies a global market relevance. The data is 100% valid for all columns and has no missing or mismatched entries.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Data Scientists and Machine Learning Engineers for building and refining sentiment analysis models.
- Financial Analysts and Researchers looking to understand market psychology and its effect on stock performance.
- Academics and Students for educational projects and studies on financial markets and social media analysis.
- Investors interested in integrating social sentiment into their trading strategies.
Dataset Name Suggestions
- Stock Market Tweet Sentiment
- Financial Social Media Data
- Market Sentiment Tweets
- Stock Price Prediction Tweets
- Public Sentiment Stock Data
Attributes
Original Data Source: Stock Market Tweet Sentiment
QUALITY