https://github.com/muhakbarhamid21/sentiment-analysis-covid-19-twitter
https://github.com/muhakbarhamid21/sentiment-analysis-covid-19-twitter
Last synced: 22 days ago
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- Host: GitHub
- URL: https://github.com/muhakbarhamid21/sentiment-analysis-covid-19-twitter
- Owner: muhakbarhamid21
- Created: 2024-03-25T21:31:09.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-27T16:54:20.000Z (about 1 year ago)
- Last Synced: 2024-10-20T22:17:32.843Z (7 months ago)
- Language: Jupyter Notebook
- Size: 23.4 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Sentiment Analysis COVID 19 Twitter
## System Flowchart

## Dataset
https://www.kaggle.com/datasets/dionisiusdh/covid19-indonesian-twitter-sentiment
## Method
### Prerocessing
- Case Folding
- Tokenizing
- Filtering
- Word Handling
- Stemming### Feature Selection
- TF-IDF
### Classification
- Logistic Regression
### Handling Imbalance
- Undersampling
- Oversampling
- SMOTE
- Cost-Sensitive Learning
- Bagging
- Tomek Links## Data Exploration
Class
positif = 23521
negatif = 20055
netral = 9383

## Top Features
- Positive Class

- Negative Class

- Neutral Class
## Word Cloud
- Positive Class

- Negative Class

- Neutral Class
## Evaluation
### Accuracy

### Classification Report
