pooja444 / sentiment-analysis-swm

An academic project - part of the Semantic Web Mining course I was enrolled in during my Master's degree

Sentiment Analysis

An academic project - detects the sentiment of a tweet

Follow the below steps for running this project

Data preprocessing

python3 -m venv venv
source ./venv/bin/activate
pip3 install -r requirements.txt

Follow the below steps for generating CSV out of the preprocessed data -

• Install the Sentiment140 data set from - Kaggle
• Run the command with the input CSV as file path ./data_preprocessing.py -f "path/to/file"

This creates a file called 'preprocessed_dataset.csv' that contains the preprocessed data

Pickle files -

Naive Bayes: https://drive.google.com/file/d/156ySQ004JB_FcvL7l31iHTqYDiWKAWcu/view?usp=sharing

BERT: https://drive.google.com/file/d/1dD6fCwtPuVPzCHCsj5h4XROr8gOPK147/view?usp=share_link

The above pickle files of pre-trained models have to be downloaded and placed in models/pkl/ folder.

Frontend server

Run the below commands to start the react application

npm install
npm start

Backend server

Run the below command to start the flask server

./server.py