Analisis-Sentimen-Corona-DKI-Jakarta

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Analisis-Sentimen-Corona-DKI-Jakarta

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Analisis Sentimen Corona DKI Jakarta menggunakan TF-IDF Vectorizer & Support Vector Machine

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# Analisis Sentimen Twitter Corona DKI Jakarta

![love](https://img.shields.io/badge/Made%20with-🖤-white)
[![Python](https://img.shields.io/badge/Python-≥3.8-green?logo=python)](https://www.python.org/)
[![Test](https://github.com/Hyuto/Analisis-Sentimen-Corona-DKI-Jakarta/actions/workflows/testing.yaml/badge.svg)](https://github.com/Hyuto/Analisis-Sentimen-Corona-DKI-Jakarta/actions/workflows/testing.yaml)
[![Lint](https://github.com/Hyuto/Analisis-Sentimen-Corona-DKI-Jakarta/actions/workflows/linting.yaml/badge.svg)](https://github.com/Hyuto/Analisis-Sentimen-Corona-DKI-Jakarta/actions/workflows/linting.yaml)
[![codecov](https://codecov.io/gh/Hyuto/Analisis-Sentimen-Corona-DKI-Jakarta/branch/master/graph/badge.svg?token=6L0ICORI22)](https://codecov.io/gh/Hyuto/Analisis-Sentimen-Corona-DKI-Jakarta)

Analisis Sentimen Twitter untuk mengetahui Dampak dari Pandemi COVID-19 terhadap masyarakat Jakarta
menggunakan TF-IDF Vectorizer &amp; SVM

|                                          |                                          |
| :--------------------------------------: | :--------------------------------------: |
| ![wc-positive](https://raw.githubusercontent.com/Hyuto/Analisis-Sentimen-Corona-DKI-Jakarta/master/assets/wc_positive.png) | ![wc-negative](https://raw.githubusercontent.com/Hyuto/Analisis-Sentimen-Corona-DKI-Jakarta/master/assets/wc_negative.png) |

## Web Application

Anda dapat mencoba model yang sudah dilatih dari penelitian ini secara langsung di
[Sentiment Detector](https://hyuto.github.io/showcase/sa-corona)

## Setup

Setup local environment. Pertama clone/download repo ini. Selanjutnya, buat _virtual environments_ dan aktifkan. Kemudian install dependencies pada `requirements.txt`.

```bash
$ pip install -r requirements.txt
```

## CLI

Mengakses setiap feature yang ada lewat CLI.

```bash
python -m src --help
```

1. Scraping twitter menggunakan `snscrape`

Melakukan scraping data twitter terkait topik apapun dengan menggunakan library `snscrape`.

```bash
   python -m src scrape --help
   ```

**Contoh**

Scraping data twitter terkait minyak di DKI Jakarta.

```
   query="minyak"
   geocode="-6.213621,106.832673,20km" # geocode-Jakarta
   max-results=5000 # maksimal-tweet
   export="minyak" # export-scraping
   ```

```bash
   python -m src scrape "minyak" \
      --geocode "-6.213621,106.832673,20km" \
      --max-results 5000 \
      --export "minyak"
   ```

2. Model Testing

Testing model yang sudah dilatih sebelumnya sembari melakukan scraping data twitter
   terkait topik corona dengan menggunakan library `snscrape`.

```bash
   python -m src model-test --help
   ```

**Contoh**

Mendetect tweet tentang covid di kota Malang

```
   query="#corona OR covid OR Covid19 OR #DiRumahAja OR #quarantine OR Corona OR DiRumahAja OR wabah OR pandemi OR quarantine"
   geocode="-7.97712,112.63403,20km" # geocode-Malang
   max-results=5000 # maksimal-tweet
   export="covid" # export-scraping
   ```

```bash
   python -m src model-test \
      --geocode "-7.97712,112.63403,20km" \
      --max-results 5000 \
      --export "covid"
   ```

3. ONNX Model Converter

Convert model yang sudah terlatih dalam bentuk pickle ke `onnx`.

```bash
   python -m src convert-onnx --help
   ```

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