File size: 643 Bytes
5da4604 7f6e7d9 9a12379 7f6e7d9 9a12379 f148df7 9a12379 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 |
---
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 |