Update README.md

README.md

@@ -13,4 +13,34 @@ tags:
 pretty_name: Stock Market Tweets Data
 size_categories:
 - 100K<n<1M
----
+task_categories:
+- text-classification
+- mask-generation
+---
+
+# Stock Market Tweets Data
+
+## Overview
+This dataset is the same as the [Stock Market Tweets Data on IEEE by Bruno Taborda](https://ieee-dataport.org/open-access/stock-market-tweets-data).
+
+## Data Description
+This dataset contains 943,672 tweets collected between April 9 and July 16, 2020, using the S&P 500 tag (#SPX500), the references to the top 25 companies in the S&P 500 index, and the Bloomberg tag (#stocks).
+
+### Dataset Structure
+- **created_at**: The exact time this tweet was posted.
+- **text**: The text of the tweet, providing insights into financial discussions.
+
+### Hashtags and cashtags used
+The following Twitter tags were used as a search parameter: #SPX500, #SP500, SPX500, SP500, $SPX, #stocks, $MSFT, $AAPL, $AMZN, $FB, $BBRK.B, $GOOG, $JNJ, $JPM, $V, $PG, $MA, $INTC $UNH, $BAC, $T, $HD, $XOM, $DIS, $VZ, $KO, $MRK, $CMCSA, $CVX, $PEP, $PFE.
+
+### Labeled Dataset
+The labeled dataset which contains 1,300 tweets can be found [here](https://huggingface.co/datasets/TimKoornstra/financial-tweets-sentiment).
+
+## Usage
+This dataset is ideal for training and evaluating machine learning models for sentiment analysis, especially those focused on understanding market trends and investor sentiment. It can be used for academic research, financial market analysis, and developing AI tools for financial institutions.
+
+## Acknowledgments
+We extend our heartfelt gratitude to all the authors and contributors of the original dataset.
+
+## License
+This dataset is made available under the CC BY 4.0 license, adhering to the licensing terms of the original dataset.