Update README.md

README.md

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 # Sentiment Analysis from Scratch (LSTM + Attention)
 
-This is a sentiment analysis model built entirely from scratch using a bidirectional LSTM architecture with an attention mechanism. The tokenizer is also trained from scratch on the dataset.
+This is a sentiment analysis model built entirely from scratch using a bidirectional LSTM architecture with an attention mechanism. The tokenizer is also trained from scratch on the dataset of 1.6 million tweets.
 
-## Example Use
-Try it out here 👇👇
+## Dataset Link
 
-```python
-Input: "I'm so happy to see this project live!"
-Output: Positive (0.95)
+https://www.kaggle.com/datasets/mdraselsarker/sentiment140-dataset-with-1-6-million-tweets
+
+## Kaggle Notebook Link
+
+https://www.kaggle.com/code/mastershomya/sentiment-analysis-deep-bilstm