This repository contains an explorative analysis of the ReadNet questionnaires. The goal is to preprocess and analyze the close responses and the textual responses from the questionnaires using natural language processing (NLP) techniques.
To set up the environment, follow these steps:
conda create --name questionnaire python=3.11 -y
conda activate questionnaire
pip install -r requirements.txt
Download necessary NLP models and resources:
python -m spacy download en_core_web_sm
python -m nltk.downloader punkt
python -m nltk.downloader stopwords
After setting up the environment, you can proceed with data preprocessing and analysis using the provided scripts.