https://github.com/shinyq/django_thesis-sentiboard-university-sentiment-app

My Bachelor Thesis, A Sentiment App For Twitter Post About Telkom University. Username & Password: admin
https://github.com/shinyq/django_thesis-sentiboard-university-sentiment-app

classification django python3 sentiment-analysis twitter-api web-application

Last synced: 2 days ago
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My Bachelor Thesis, A Sentiment App For Twitter Post About Telkom University. Username & Password: admin

• Host: GitHub
• URL: https://github.com/shinyq/django_thesis-sentiboard-university-sentiment-app
• Owner: ShinyQ
• Created: 2022-12-14T07:16:30.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-01-28T12:23:10.000Z (almost 2 years ago)
• Last Synced: 2024-12-22T21:15:00.318Z (2 days ago)
• Topics: classification, django, python3, sentiment-analysis, twitter-api, web-application
• Language: JavaScript
• Homepage: https://sentiboard.web.id
• Size: 29 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# **Sentiboard**

A Sentiment Analysis Dashboard For Telkom University Social Media

## **Tech Stack**

- Python 3.9

- Django

- Plotly

- Transformer (IndoBERT)

## **Installation Steps:**

Make sure you have the rust programming language installed:

- `curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh`

Install pgsql connector:

- `brew install postgresql` for MAC

- `sudo apt-get install libpq-dev` for Debian/Ubuntu

Manual Installation:

- Create virtual environment (python3 -m venv Scripts)

- Activate virtual environment (source Scripts/bin/activate)

- Upgrade latest pip version (pip3 install --upgrade pip)

- Install Requirements (pip install -r requirements.txt)

## **Running Application**

- Manual : `python3 manage.py runserver localhost:9000`