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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
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