| --- |
| license: mit |
| language: |
| - en |
| metrics: |
| - accuracy |
| pipeline_tag: text-classification |
| tags: |
| - sentiment-analysis |
| - keras |
| - lstm |
| - attention |
| - scratch-model |
| --- |
| # 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 of 1.6 million tweets. |
|
|
| ## Dataset Link |
|
|
| 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 |
