yashspr / sentiment_analysis_ml_part

The backend and ML code for sentiment analysis. Also needs this code to run: https://github.com/nikhilvangumalla/web_sentiment_analysis

How to Run

Installation

Note: Make sure sentiment_analysis_ml_part and web_sentiment_analysis are in a single root directory.

Python Server

Note: Make sure you have installed Microsoft C++ Build Tools before proceeding.

1. Install anaconda
2. In terminal, navigate to sentiment_analysis_ml_part directory in anaconda part.
3. Run conda env create -n sentiment_analysis -f ./environment.yml
4. Activate the environment by running conda activate sentiment_analysis
5. Run this command python -m spacy download en_core_web_sm
6. Type in terminal set FLASK_APP=server.py
7. Then run flask run

Nodejs Server

Note: Make sure you have installed Nodejs and MongoDB before proceeding

1. Navigate to web_sentiment_analysis directory in CMD.
2. Type the command npm install

Running The Project

Python Server

1. Navigate to sentiment_analysis_ml_part directory in anaconda prompt.
2. Type in terminal set FLASK_APP=server.py
3. Then run flask run

Nodejs Server

Note: Make sure you have installed Nodejs and MongoDB before proceeding

1. Navigate to web_sentiment_analysis directory in CMD.
2. Type the command npm run start

The server will start. First time will take long because the models have to be trained and saved.