TITLE: ANALYZING AND UNCOVERING PATTERNS IN RENEWABLE ENERGY INTEGRATION AND ELECTRIC VEHICLE CHARGING RESEARCH THROUGH TOPIC MODELING TECHNIQUES

Description
This is a Topic modelling project using BERTopic and LDA Gensim

There are four files

1. Timothy_Adegbola_Topic_Modelling.ipynb (to be run on jupyter or colab only)
2. Timothy_Adegbola_Topic_Modelling.py  (to be run on linux virtual env only)
3. requirements.txt (contains all python package dependencies)


TO RUN ON GOOGLE COLAB OR JUPYTER 
1. import Timothy_Adegbola_Topic_Modelling.ipynb
2. Download Datasets at https://drive.google.com/file/d/18M53PSGK7n0VZy248RaGXHAWl7qyfwuI/view
3.Copy dataset to the current working directory
4. Change the read_csv path to the location of the datasets
5. Click Run all



TO RUN ON LINUX VIRTUAL ENVIRONMENT
1. Setup a Virtual Environment
2. Copy the Timothy_Adegbola_Topic_Modelling.py to the current working directory
3. Copy the requirements.txt to the current working directory
4. Download the Dataset at https://drive.google.com/file/d/18M53PSGK7n0VZy248RaGXHAWl7qyfwuI/view
5. Copy the Dataset to the current working directory
6 Run--> pip install -r requirements.txt
7. Run--> python3.8 Timothy_Adegbola_Text_Classification.py