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https://github.com/rahulsm20/marketing-sentiment-analysis
https://github.com/rahulsm20/marketing-sentiment-analysis
Last synced: 6 days ago
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- Host: GitHub
- URL: https://github.com/rahulsm20/marketing-sentiment-analysis
- Owner: rahulsm20
- Created: 2023-12-25T16:50:23.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-06-04T08:33:48.000Z (6 months ago)
- Last Synced: 2024-06-04T09:25:18.407Z (5 months ago)
- Language: Jupyter Notebook
- Homepage: https://marketing-sentiment-analysis.vercel.app
- Size: 13.9 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Marketing Strategy Optimization using Sentiment Analysis
### Introduction
A sentiment analysis project driven by real time data collection and a combination of CNN-LSTM architecture.
## Index
- [Prerequisites](#prerequisites)
- [Setup](#setup)
- [System Design](#system-design)
## Prerequisites
- [Node](https://nodejs.org/en/download/current)
- [Python (>=3.10)](https://www.python.org/downloads/)
- [Python Extension (VSCode)](https://marketplace.visualstudio.com/items?itemName=ms-python.python)
- [Jupyter Notebook Extension (VSCode)](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter)
- [Docker (Optional)](https://www.docker.com/)
## Setup
### Setup Notebook
- Create virtual environment
```
python -m venv venv
```
- Enter virtual environment
- Bash
```
source venv/bin/activate
```
- Powershell
```
.\venv\Scripts\activate
```
- Install requirements
```
pip install -r requirements.txt
```
## Setup
#### Scraping Service
```
cd scraping-service
```
- Install modules
```
npm install
```
or
```
npm i
```
- Setup environment variables
$ scraping-service/.env
```
MONGO_URL=
API_KEY=
POSTGRES_URL=
```
* Starting the servers
$ scraping-service
```
npm run dev
```
#### Generation Service
```
cd generation-service
```
- Install Packages
```
pip -r requirements.txt
```
$ generation-service/.env
```
GEMINI_API_KEY=
```
$ generation-service
```
uvicorn main:app --host 0.0.0.0 --port 8000
```
#### Setup Client
- Setup environment variables
```
VITE_AUTH0_CLIENT_ID=
VITE_AUTH0_DOMAIN=
VITE_SCRAPING_SERVICE_URL=http://localhost:5000
VITE_GENERATION_SERVICE_URL=http://localhost:8000
VITE_CLIENT_URL= http://localhost:5173/
VITE_SERVER_URL=http://localhost:5000
```
$ client
```
npm i && npm run dev
```
### Using Docker
$ .
```
docker compose up
```
### System Design
